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https://www.readbyqxmd.com/read/28346875/helicobacter-pylori-infection-detection-from-gastric-x-ray-images-based-on-feature-fusion-and-decision-fusion
#1
Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
In this paper, a fully automatic method for detection of Helicobacter pylori (H. pylori) infection is presented with the aim of constructing a computer-aided diagnosis (CAD) system. In order to realize a CAD system with good performance for detection of H. pylori infection, we focus on the following characteristic of stomach X-ray examination. The accuracy of X-ray examination differs depending on the symptom of H. pylori infection that is focused on and the position from which X-ray images are taken. Therefore, doctors have to comprehensively assess the symptoms and positions...
March 21, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28342323/computer-aided-tumor-diagnosis-using-shear-wave-breast-elastography
#2
Woo Kyung Moon, Yao-Sian Huang, Yan-Wei Lee, Shao-Chien Chang, Chung-Ming Lo, Min-Chun Yang, Min Sun Bae, Su Hyun Lee, Jung Min Chang, Chiun-Sheng Huang, Yi-Ting Lin, Ruey-Feng Chang
The shear wave elastography (SWE) uses the acoustic radiation force to measure the stiffness of tissues and is less operator dependent in data acquisition compared to strain elastography. However, the reproducibility of the result is still interpreter dependent. The purpose of this study is to develop a computer-aided diagnosis (CAD) method to differentiate benign from malignant breast tumors using SWE images. After applying the level set method to automatically segment the tumor contour and hue-saturation-value color transformation, SWE features including average tissue elasticity, sectional stiffness ratio, and normalized minimum distance for grouped stiffer pixels are calculated...
March 15, 2017: Ultrasonics
https://www.readbyqxmd.com/read/28338446/the-use-of-hippocampal-volumetric-measurements-to-improve-diagnostic-accuracy-in-pediatric-patients-with-mesial-temporal-sclerosis
#3
Gloria J Guzmán Pérez-Carrillo, Christopher Owen, Katherine E Schwetye, Spencer McFarlane, Ananth K Vellimana, Soe Mar, Michelle M Miller-Thomas, Joshua S Shimony, Matthew D Smyth, Tammie L S Benzinger
OBJECTIVE Many patients with medically intractable epilepsy have mesial temporal sclerosis (MTS), which significantly affects their quality of life. The surgical excision of MTS lesions can result in marked improvement or even complete resolution of the epileptic episodes. Reliable radiological diagnosis of MTS is a clinical challenge. The purpose of this study was to evaluate the utility of volumetric mapping of the hippocampi for the identification of MTS in a case-controlled series of pediatric patients who underwent resection for medically refractory epilepsy, using pathology as a gold standard...
March 24, 2017: Journal of Neurosurgery. Pediatrics
https://www.readbyqxmd.com/read/28328796/increased-incidence-of-cancer-observed-in-hiv-hcv-coinfected-patients-versus-hiv-monoinfected-1993-2014
#4
Héctor Meijide, Sonia Pértega, Iria Rodríguez-Osorio, Ángeles Castro-Iglesias, Josefa Baliñas, Guillermo Rodríguez-Martínez, Álvaro Mena, Eva Poveda
BACKGROUND: Cancer is a growing problem in persons living with HIV infection (PLWH) and hepatitis C virus (HCV) coinfection could play an additional role in carcinogenesis. Herein, all cancers in an HIV-mono and HIV/HCV-coinfected cohort were evaluated and compared to identify any differences between these two populations. METHODS: A retrospective cohort study was conducted including all cancers in PLWH between 1993 and 2014. Cancers were classified in two groups, AIDS-defining cancer (ADC) and non AIDS-defining cancer (NADC)...
March 21, 2017: AIDS
https://www.readbyqxmd.com/read/28325451/multiview-boosting-digital-pathology-analysis-of-prostate-cancer
#5
Jin Tae Kwak, Stephen M Hewitt
BACKGROUND AND OBJECTIVE: Various digital pathology tools have been developed to aid in analyzing tissues and improving cancer pathology. The multi-resolution nature of cancer pathology, however, has not been fully analyzed and utilized. Here, we develop an automated, cooperative, and multi-resolution method for improving prostate cancer diagnosis. METHODS: Digitized tissue specimen images are obtained from 5 tissue microarrays (TMAs). The TMAs include 70 benign and 135 cancer samples (TMA1), 74 benign and 89 cancer samples (TMA2), 70 benign and 115 cancer samples (TMA3), 79 benign and 82 cancer samples (TMA4), and 72 benign and 86 cancer samples (TMA5)...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28325441/a-review-of-fuzzy-cognitive-maps-in-medicine-taxonomy-methods-and-applications
#6
REVIEW
Abdollah Amirkhani, Elpiniki I Papageorgiou, Akram Mohseni, Mohammad R Mosavi
BACKGROUND AND OBJECTIVE: A high percentage of medical errors, committed because of physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to medical records of previous patients, can be reduced using computer-aided techniques. Therefore, designing more efficient medical decision-support systems (MDSSs) to assist physicians in decision-making is crucially important. Through combining the properties of fuzzy logic and neural networks, fuzzy cognitive maps (FCMs) are among the latest, most efficient, and strongest artificial intelligence techniques for modeling complex systems...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28324924/automatic-tissue-characterization-of-air-trapping-in-chest-radiographs-using-deep-neural-networks
#7
Awais Mansoor, Geovanny Perez, Gustavo Nino, Marius George Linguraru
Significant progress has been made in recent years for computer-aided diagnosis of abnormal pulmonary textures from computed tomography (CT) images. Similar initiatives in chest radiographs (CXR), the common modality for pulmonary diagnosis, are much less developed. CXR are fast, cost effective and low-radiation solution to diagnosis over CT. However, the subtlety of textures in CXR makes them hard to discern even by trained eye. We explore the performance of deep learning abnormal tissue characterization from CXR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28320600/tympanometry-and-isolated-fracture-of-the-stapes
#8
C Aussedat, C Bobiller, K Gaillot, E Lescanne, D Bakhos
INTRODUCTION: Temporal bone fractures are frequently associated with ossicular dislocations or fractures, most commonly involving the incus. To our knowledge, isolated fracture of the posterior crus of the stapes has not been previously reported. CASE REPORT: A 20-year-old man consulted for persistent left hypoacusis several months after a head injury. Initial computed tomography of the temporal bone showed a simple temporal bone fracture with no other associated abnormalities...
March 17, 2017: European Annals of Otorhinolaryngology, Head and Neck Diseases
https://www.readbyqxmd.com/read/28314547/brief-assessment-of-subjective-health-complaints-development-validation-and-population-norms-of-a-brief-form-of-the-giessen-subjective-complaints-list-gbb-8
#9
Sören Kliem, Anna Lohmann, Thimna Klatt, Thomas Mößle, Florian Rehbein, Andreas Hinz, Manfred Beutel, Elmar Brähler
OBJECTIVE: Although there is no causal relationship to medical morbidity, routine clinical assessment of somatic symptoms aids medical diagnosis and assessment of treatment effectiveness. Regardless of their causes, somatic symptoms indicate suffering, distress, and help-seeking behavior. The aim of the present study was to develop and validate a brief self-report questionnaire to assess somatic symptom strain. METHODS: A brief form of the Giessen Subjective Complaints List (GBB-8) was developed and validated in a large population sample representative of the Federal Republic of Germany (N=2008)...
April 2017: Journal of Psychosomatic Research
https://www.readbyqxmd.com/read/28303472/chronic-exertional-compartment-syndrome-in-the-forearm-of-a-collegiate-softball-pitcher
#10
REVIEW
Austin Cole, John L Hiatt, Christopher Arnold, Terry Sites, Ramon Ylanon
BACKGROUND: Chronic exertional compartment syndrome (CECS) is a recognized condition in the lower limb, with many reports in the literature. However, very few instances include CECS of the upper limb. This article presents the case of a collegiate softball pitcher presenting with CECS in her right forearm. To our knowledge, this is the first case report of a softball player with CECS, with only one similar incident in a major league baseball player. PURPOSE: The rarity of this condition normally places it low on the differential diagnosis...
December 2017: Sports Medicine—Open
https://www.readbyqxmd.com/read/28301734/deep-learning-in-medical-image-analysis
#11
Dinggang Shen, Guorong Wu, Heung-Il Suk
This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep learning, are helping to identify, classify, and quantify patterns in medical images. At the core of these advances is the ability to exploit hierarchical feature representations learned solely from data, instead of features designed by hand according to domain-specific knowledge. Deep learning is rapidly becoming the state of the art, leading to enhanced performance in various medical applications...
March 9, 2017: Annual Review of Biomedical Engineering
https://www.readbyqxmd.com/read/28299236/computer-aided-detection-fidelity-of-pulmonary-nodules-in-chest-radiograph
#12
Nikolaos Dellios, Ulf Teichgraeber, Robert Chelaru, Ansgar Malich, Ismini E Papageorgiou
AIM: The most ubiquitous chest diagnostic method is the chest radiograph. A common radiographic finding, quite often incidental, is the nodular pulmonary lesion. The detection of small lesions out of complex parenchymal structure is a daily clinical challenge. In this study, we investigate the efficacy of the computer-aided detection (CAD) software package SoftView™ 2.4A for bone suppression and OnGuard™ 5.2 (Riverain Technologies, Miamisburg, OH, USA) for automated detection of pulmonary nodules in chest radiographs...
2017: Journal of Clinical Imaging Science
https://www.readbyqxmd.com/read/28295405/optimal-reconstruction-and-quantitative-image-features-for-computer-aided-diagnosis-tools-for-breast-ct
#13
Juhun Lee, Robert M Nishikawa, Ingrid Reiser, John M Boone
PURPOSE: The purpose of this study is to determine the optimal representative reconstruction and quantitative image feature set for a computer-aided diagnosis (CADx) scheme for dedicated breast computer tomography (bCT). METHOD: We used 93 bCT scans that contain 102 breast lesions (62 malignant, 40 benign). Using an iterative image reconstruction (IIR) algorithm, we created 37 reconstructions with different image appearances for each case. In addition, we added a clinical reconstruction for comparison purposes...
March 15, 2017: Medical Physics
https://www.readbyqxmd.com/read/28285460/recent-advancements-in-retinal-vessel-segmentation
#14
Chetan L Srinidhi, P Aparna, Jeny Rajan
Retinal vessel segmentation is a key step towards the accurate visualization, diagnosis, early treatment and surgery planning of ocular diseases. For the last two decades, a tremendous amount of research has been dedicated in developing automated methods for segmentation of blood vessels from retinal fundus images. Despite the fact, segmentation of retinal vessels still remains a challenging task due to the presence of abnormalities, varying size and shape of the vessels, non-uniform illumination and anatomical variability between subjects...
April 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28285338/a-study-of-computer-aided-diagnosis-for-pulmonary-nodule-comparison-between-classification-accuracies-using-calculated-image-features-and-imaging-findings-annotated-by-radiologists
#15
Masami Kawagishi, Bin Chen, Daisuke Furukawa, Hiroyuki Sekiguchi, Koji Sakai, Takeshi Kubo, Masahiro Yakami, Koji Fujimoto, Ryo Sakamoto, Yutaka Emoto, Gakuto Aoyama, Yoshio Iizuka, Keita Nakagomi, Hiroyuki Yamamoto, Kaori Togashi
PURPOSE: In our previous study, we developed a computer-aided diagnosis (CADx) system using imaging findings annotated by radiologists. The system, however, requires radiologists to input many imaging findings. In order to reduce such an interaction of radiologists, we further developed a CADx system using derived imaging findings based on calculated image features, in which the system only requires few user operations. The purpose of this study is to check whether calculated image features (CFT) or derived imaging findings (DFD) can represent information in imaging findings annotated by radiologists (AFD)...
March 11, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28282591/a-novel-computer-aided-diagnosis-system-for-breast-mri-based-on-feature-selection-and-ensemble-learning
#16
Wei Lu, Zhe Li, Jinghui Chu
Breast cancer is a common cancer among women. With the development of modern medical science and information technology, medical imaging techniques have an increasingly important role in the early detection and diagnosis of breast cancer. In this paper, we propose an automated computer-aided diagnosis (CADx) framework for magnetic resonance imaging (MRI). The scheme consists of an ensemble of several machine learning-based techniques, including ensemble under-sampling (EUS) for imbalanced data processing, the Relief algorithm for feature selection, the subspace method for providing data diversity, and Adaboost for improving the performance of base classifiers...
March 6, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28275370/pbhmda-path-based-human-microbe-disease-association-prediction
#17
Zhi-An Huang, Xing Chen, Zexuan Zhu, Hongsheng Liu, Gui-Ying Yan, Zhu-Hong You, Zhenkun Wen
With the advance of sequencing technology and microbiology, the microorganisms have been found to be closely related to various important human diseases. The increasing identification of human microbe-disease associations offers important insights into the underlying disease mechanism understanding from the perspective of human microbes, which are greatly helpful for investigating pathogenesis, promoting early diagnosis and improving precision medicine. However, the current knowledge in this domain is still limited and far from complete...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28274905/a-learning-health-care-system-using-computer-aided-diagnosis
#18
Amos Cahan, James J Cimino
Physicians intuitively apply pattern recognition when evaluating a patient. Rational diagnosis making requires that clinical patterns be put in the context of disease prior probability, yet physicians often exhibit flawed probabilistic reasoning. Difficulties in making a diagnosis are reflected in the high rates of deadly and costly diagnostic errors. Introduced 6 decades ago, computerized diagnosis support systems are still not widely used by internists. These systems cannot efficiently recognize patterns and are unable to consider the base rate of potential diagnoses...
March 8, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28270999/fully-automated-diagnosis-of-papilledema-through-robust-extraction-of-vascular-patterns-and-ocular-pathology-from-fundus-photographs
#19
Khush Naseeb Fatima, Taimur Hassan, M Usman Akram, Mahmood Akhtar, Wasi Haider Butt
Rapid development in the field of ophthalmology has increased the demand of computer aided diagnosis of various eye diseases. Papilledema is an eye disease in which the optic disc of the eye is swelled due to an increase in intracranial pressure. This increased pressure can cause severe encephalic complications like abscess, tumors, meningitis or encephalitis, which may lead to a patient's death. Although there have been several papilledema case studies reported from a medical point of view, only a few researchers have presented automated algorithms for this problem...
February 1, 2017: Biomedical Optics Express
https://www.readbyqxmd.com/read/28268807/3d-limb-movement-tracking-and-analysis-for-neurological-dysfunctions-of-neonates-using-multi-camera-videos
#20
Irene Yu-Hua Gu, Grzegorz Sowulewski, Yixiao Yun, Anders Flisberg, Magnus Thordstein
Central nervous system dysfunction in infants may be manifested through inconsistent, rigid and abnormal limb movements. Detection of limb movement anomalies associated with such neurological dysfunctions in infants is the first step towards early treatment for improving infant development. This paper addresses the issue of detecting and quantifying limb movement anomalies in infants through non-invasive 3D image analysis methods using videos from multiple camera views. We propose a novel scheme for tracking 3D time trajectories of markers on infant's limbs by video analysis techniques...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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