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Content based image retrieval

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https://www.readbyqxmd.com/read/28692995/size-scalable-content-based-histopathological-image-retrieval-from-database-that-consists-of-wsis
#1
Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Yibing Ma, Huaqiang Shi, Yu Zhao
Content-based image retrieval (CBIR) has been widely researched for histopathological images. It is challenging to retrieve contently similar regions from histopathological whole slide images (WSIs) for regions of interest (ROIs) in different size. In this paper, we propose a novel CBIR framework for database that consists of WSIs and size-scalable query ROIs. Each WSI in the database is encoded into a matrix of binary codes. When retrieving, a group of region proposals that have similar size with the query ROI are firstly located in the database through an efficient table-lookup approach...
July 4, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28682246/breakingnews-article-annotation-by-image-and-text-processing
#2
Arnau Ramisa, Fei Yan, Francesc Moreno-Noguer, Krystian Mikolajczyk
Current approaches lying in the intersection of computer vision and NLP have achieved unprecedented breakthroughs in tasks like automatic captioning or image retrieval. Most of these methods, though, rely on training sets of images associated with annotations that specifically describe the visual content. This paper proposes going a step further and explores more complex cases where textual descriptions are loosely related to images. We focus on the particular domain of News. We introduce new deep learning methods that address source and popularity prediction, article illustration, and article geolocation...
June 30, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28674075/clathrin-mediated-post-fusion-membrane-retrieval-influences-the-exocytic-mode-of-endothelial-weibel-palade-bodies
#3
Nicola L Stevenson, Ian J White, Jessica J McCormack, Christopher Robinson, Daniel F Cutler, Thomas D Nightingale
Weibel Palade bodies (WPB), the storage organelles of endothelial cells, are essential to normal haemostatic and inflammatory responses. Their major content protein is Von Willebrands factor (VWF) that, following secretagogue-stimulation, is released into the blood vessel lumen as large platelet-catching strings. This exocytosis changes the protein composition of the cell surface and also results in a net increase in the amount of plasma membrane. Compensatory endocytosis is thought to limit changes in cell size and retrieve fusion machinery and other misplaced integral membrane proteins following exocytosis, however little is known about the extent, timing, mechanism and precise function of compensatory endocytosis in endothelial cells...
July 3, 2017: Journal of Cell Science
https://www.readbyqxmd.com/read/28644815/landmark-image-retrieval-by-jointing-feature-refinement-and-multimodal-classifier-learning
#4
Xiaoming Zhang, Senzhang Wang, Zhoujun Li, Shuai Ma
Landmark retrieval is to return a set of images with their landmarks similar to those of the query images. Existing studies on landmark retrieval focus on exploiting the geometries of landmarks for visual similarity matches. However, the visual content of social images is of large diversity in many landmarks, and also some images share common patterns over different landmarks. On the other side, it has been observed that social images usually contain multimodal contents, i.e., visual content and text tags, and each landmark has the unique characteristic of both visual content and text content...
June 20, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28566684/quantitative-refractive-index-distribution-of-single-cell-by-combining-phase-shifting-interferometry-and-afm-imaging
#5
Qinnan Zhang, Liyun Zhong, Ping Tang, Yingjie Yuan, Shengde Liu, Jindong Tian, Xiaoxu Lu
Cell refractive index, an intrinsic optical parameter, is closely correlated with the intracellular mass and concentration. By combining optical phase-shifting interferometry (PSI) and atomic force microscope (AFM) imaging, we constructed a label free, non-invasive and quantitative refractive index of single cell measurement system, in which the accurate phase map of single cell was retrieved with PSI technique and the cell morphology with nanoscale resolution was achieved with AFM imaging. Based on the proposed AFM/PSI system, we achieved quantitative refractive index distributions of single red blood cell and Jurkat cell, respectively...
May 31, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28526874/radiopaque-resorbable-inferior-vena-cava-filter-infused-with-gold-nanoparticles
#6
Li Tian, Patrick Lee, Burapol Singhana, Aaron Chen, Yang Qiao, Linfeng Lu, Jonathan O Martinez, Ennio Tasciotti, Adam Melancon, Steven Huang, Mitch Eggers, Marites P Melancon
Failure to remove a retrievable inferior vena cava (IVC) filter can cause severe complications with high treatment costs. Polydioxanone (PPDO) has been shown to be a good candidate material for resorbable IVC filters. However, PPDO is radioluscent under conventional imaging modalities. Thus, the positioning and integrity of these PPDO filters cannot be monitored by computed tomography (CT) or x-ray. Here we report the development of radiopaque PPDO IVC filters based on gold nanoparticles (AuNPs). Commercially available PPDO sutures were infused with AuNPs...
May 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28422672/aiimds-an-integrated-framework-of-automatic-idiopathic-inflammatory-myopathy-diagnosis-for-muscle
#7
Manish Sapkota, Fujun Liu, Yuanpu Xie, Hai Su, Fuyong Xing, Lin Yang
Idiopathic Inflammatory Myopathy (IIM) is a common skeletal muscle disease that relates to weakness and inflammation of muscle. Early diagnosis and prognosis of different types of IIMs will guide the effective treatment. Interpretation of digitized images of the cross section muscle biopsy, which is currently done manually, provides the most reliable diagnostic information. With the increasing volume of images, the management and manual interpretation of the digitized muscle images suffer from low efficiency and high interobserver variabilities...
April 13, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28293255/sparse-codebook-model-of-local-structures-for-retrieval-of-focal-liver-lesions-using-multiphase-medical-images
#8
Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen
Characterization and individual trait analysis of the focal liver lesions (FLL) is a challenging task in medical image processing and clinical site. The character analysis of a unconfirmed FLL case would be expected to benefit greatly from the accumulated FLL cases with experts' analysis, which can be achieved by content-based medical image retrieval (CBMIR). CBMIR mainly includes discriminated feature extraction and similarity calculation procedures. Bag-of-Visual-Words (BoVW) (codebook-based model) has been proven to be effective for different classification and retrieval tasks...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28286687/lipomatous-extensively-vacuolated-ependymoma-with-signet-ring-cell-like-appearance-analysis-of-a-case-with-extensive-literature-review
#9
Miguel Fdo Salazar, Martha Lilia Tena-Suck, Alma Ortiz-Plata, Citlaltepetl Salinas-Lara, Daniel Rembao-Bojórquez
"Lipomatous" and "extensively vacuolated" are descriptive captions that have been used to portray a curious subset of ependymomas distinctively bearing cells with a large vacuole pushing the nucleus to the periphery and, thus, simulating a signet-ring cell appearance. Here, we would like to report the first ependymoma of this kind in a Latin American institution. A 16-year-old boy experienced cephalea during three months. Magnetic resonance imaging scans showed a left paraventricular tumour which corresponded to anaplastic ependymoma...
2017: Case Reports in Pathology
https://www.readbyqxmd.com/read/28278457/collaborative-index-embedding-for-image-retrieval
#10
Wengang Zhou, Houqiang Li, Jian Sun, Qi Tian
In content-based image retrieval, SIFT feature and the feature from deep convolutional neural network (CNN) have demonstrated promising performance. To fully explore both visual features in a unified framework for effective and efficient retrieval, we propose a collaborative index embedding method to implicitly integrate the index matrices of them. We formulate the index embedding as an optimization problem from the perspective of neighborhood sharing and solve it with an alternating index update scheme. After the iterative embedding, only the embedded CNN index is kept for on-line query, which demonstrates significant gain in retrieval accuracy, with very economical memory cost...
March 1, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28269475/mobile-teleradiology-system-suitable-for-m-health-services-supporting-content-and-semantic-based-image-retrieval-on-a-grid-infrastructure
#11
Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal
Teleradiology systems tackle the problem of transferring radiological images between medical image workstations for facilitating different medical activities, e.g., diagnosis, treatment and follow up a patient, medical training, or consulting second opinion. Nowadays, m-Health (aka mobile health) is becoming popular because of high quality of mobile displays, although remains a work in progress. In this paper a mobile teleradiology system is reported, which main contribution is the development of a platform: (1) supported by a Grid infrastructure, (2) using biomedical ontologies for adding semantic annotations on medical images, and (3) supporting semantic and content-based image retrieval...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268839/an-end-to-end-secure-cbir-over-encrypted-medical-database
#12
Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwenole Quellec
In this paper, we propose a new secure content based image retrieval (SCBIR) system adapted to the cloud framework. This solution allows a physician to retrieve images of similar content within an outsourced and encrypted image database, without decrypting them. Contrarily to actual CBIR approaches in the encrypted domain, the originality of the proposed scheme stands on the fact that the features extracted from the encrypted images are themselves encrypted. This is achieved by means of homomorphic encryption and two non-colluding servers, we however both consider as honest but curious...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28263290/blue-intensity-matters-for-cell-cycle-profiling-in-fluorescence-dapi-stained-images
#13
Anabela Ferro, Tânia Mestre, Patrícia Carneiro, Ivan Sahumbaiev, Raquel Seruca, João M Sanches
In the past decades, there has been an amazing progress in the understanding of the molecular mechanisms of the cell cycle. This has been possible largely due to a better conceptualization of the cycle itself, but also as a consequence of technological advances. Herein, we propose a new fluorescence image-based framework targeted at the identification and segmentation of stained nuclei with the purpose to determine DNA content in distinct cell cycle stages. The method is based on discriminative features, such as total intensity and area, retrieved from in situ stained nuclei by fluorescence microscopy, allowing the determination of the cell cycle phase of both single and sub-population of cells...
March 6, 2017: Laboratory Investigation; a Journal of Technical Methods and Pathology
https://www.readbyqxmd.com/read/28227726/mobile-teleradiology-system-suitable-for-m-health-services-supporting-content-and-semantic-based-image-retrieval-on-a-grid-infrastructure
#14
Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal, Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal, Victor Saquicela, Francisco Vega, Mauricio Espinoza, Lizandro Solano-Quinde, Blanca Ochoa, Maria-Esther Vidal, Alexandra La Cruz, Ruben Medina, Wilson Perez
Teleradiology systems tackle the problem of transferring radiological images between medical image workstations for facilitating different medical activities, e.g., diagnosis, treatment and follow up a patient, medical training, or consulting second opinion. Nowadays, m-Health (aka mobile health) is becoming popular because of high quality of mobile displays, although remains a work in progress. In this paper a mobile teleradiology system is reported, which main contribution is the development of a platform: (1) supported by a Grid infrastructure, (2) using biomedical ontologies for adding semantic annotations on medical images, and (3) supporting semantic and content-based image retrieval...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227037/an-end-to-end-secure-cbir-over-encrypted-medical-database
#15
Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwenole Quellec, Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwenole Quellec, Gwenole Quellec, Reda Bellafqira, Dalel Bouslimi, Gouenou Coatrieux
In this paper, we propose a new secure content based image retrieval (SCBIR) system adapted to the cloud framework. This solution allows a physician to retrieve images of similar content within an outsourced and encrypted image database, without decrypting them. Contrarily to actual CBIR approaches in the encrypted domain, the originality of the proposed scheme stands on the fact that the features extracted from the encrypted images are themselves encrypted. This is achieved by means of homomorphic encryption and two non-colluding servers, we however both consider as honest but curious...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28203153/bold-independent-computational-entropy-assesses-functional-donut-like-structures-in-brain-fmri-images
#16
James F Peters, Sheela Ramanna, Arturo Tozzi, Ebubekir İnan
We introduce a novel method for the measurement of information level in fMRI (functional Magnetic Resonance Imaging) neural data sets, based on image subdivision in small polygons equipped with different entropic content. We show how this method, called maximal nucleus clustering (MNC), is a novel, fast and inexpensive image-analysis technique, independent from the standard blood-oxygen-level dependent signals. MNC facilitates the objective detection of hidden temporal patterns of entropy/information in zones of fMRI images generally not taken into account by the subjective standpoint of the observer...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28187892/interactive-radiographic-image-retrieval-system
#17
Malay Kumar Kundu, Manish Chowdhury, Sudeb Das
BACKGROUND AND OBJECTIVE: Content based medical image retrieval (CBMIR) systems enable fast diagnosis through quantitative assessment of the visual information and is an active research topic over the past few decades. Most of the state-of-the-art CBMIR systems suffer from various problems: computationally expensive due to the usage of high dimensional feature vectors and complex classifier/clustering schemes. Inability to properly handle the "semantic gap" and the high intra-class versus inter-class variability problem of the medical image database (like radiographic image database)...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28114059/improving-large-scale-image-retrieval-through-robust-aggregation-of-local-descriptors
#18
Syed Sameed Husain, Miroslaw Bober
Visual search and image retrieval underpin numerous applications, however the task is still challenging predominantly due to the variability of object appearance and ever increasing size of the databases, often exceeding billions of images. Prior art methods rely on aggregation of local scale-invariant descriptors, such as SIFT, via mechanisms including Bag of Visual Words (BoW), Vector of Locally Aggregated Descriptors (VLAD) and Fisher Vectors (FV). However, their performance is still short of what is required...
September 27, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28092544/discriminative-multi-view-interactive-image-re-ranking
#19
Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao
-Given unreliable visual patterns and insufficient query information, content-based image retrieval (CBIR) is often suboptimal and requires image re-ranking using auxiliary information. In this paper, we propose Discriminative Multi-view INTeractive Image Re-ranking (DMINTIR), which integrates User Relevance Feedback (URF) capturing users' intentions and multiple features that sufficiently describe the images. In DMINTIR, heterogeneous property features are incorporated in the multi-view learning scheme to exploit their complementarities...
January 10, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28077212/decoding-the-content-of-recollection-within-the-core-recollection-network-and-beyond
#20
Preston P Thakral, Tracy H Wang, Michael D Rugg
Recollection - retrieval of qualitative information about a past event - is associated with enhanced neural activity in a consistent set of neural regions (the 'core recollection network') seemingly regardless of the nature of the recollected content. Here, we employed multi-voxel pattern analysis (MVPA) to assess whether retrieval-related functional magnetic resonance imaging (fMRI) activity in core recollection regions - including the hippocampus, angular gyrus, medial prefrontal cortex, retrosplenial/posterior cingulate cortex, and middle temporal gyrus - contain information about studied content and thus demonstrate retrieval-related 'reinstatement' effects...
June 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
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