keyword
MENU ▼
Read by QxMD icon Read
search

computer aided diagnosis

keyword
https://www.readbyqxmd.com/read/28634041/a-machine-learning-algorithm-toward-color-analysis-for-chronic-liver-disease-classification-employing-ultrasound-shear-wave-elastography
#1
Ilias Gatos, Stavros Tsantis, Stavros Spiliopoulos, Dimitris Karnabatidis, Ioannis Theotokas, Pavlos Zoumpoulis, Thanasis Loupas, John D Hazle, George C Kagadis
The purpose of the present study was to employ a computer-aided diagnosis system that classifies chronic liver disease (CLD) using ultrasound shear wave elastography (SWE) imaging, with a stiffness value-clustering and machine-learning algorithm. A clinical data set of 126 patients (56 healthy controls, 70 with CLD) was analyzed. First, an RGB-to-stiffness inverse mapping technique was employed. A five-cluster segmentation was then performed associating corresponding different-color regions with certain stiffness value ranges acquired from the SWE manufacturer-provided color bar...
June 17, 2017: Ultrasound in Medicine & Biology
https://www.readbyqxmd.com/read/28633151/age-based-normative-measurements-of-the-pediatric-pelvis
#2
Matthew E Oetgen, Steven Andelman, Benjamin D Martin
OBJECTIVES: Pediatric pelvic trauma is associated with high rates of morbidity and mortality. Current classifications do not take into account age-dependent quantitative differences of the pediatric pelvis making accurate diagnosis of pathologic diastasis of the pubic symphysis, sacroiliac (SI) joints, and triradiate cartilage difficult. The purpose of this study was to establish age-based normative values for the width of the pubic symphysis, SI joints, and the triradiate cartilage of the pediatric pelvis...
July 2017: Journal of Orthopaedic Trauma
https://www.readbyqxmd.com/read/28630883/detection-of-prostate-cancer-in-multiparametric-mri-using-random-forest-with-instance-weighting
#3
Nathan Lay, Yohannes Tsehay, Matthew D Greer, Baris Turkbey, Jin Tae Kwak, Peter L Choyke, Peter Pinto, Bradford J Wood, Ronald M Summers
A prostate computer-aided diagnosis (CAD) based on random forest to detect prostate cancer using a combination of spatial, intensity, and texture features extracted from three sequences, T2W, ADC, and B2000 images, is proposed. The random forest training considers instance-level weighting for equal treatment of small and large cancerous lesions as well as small and large prostate backgrounds. Two other approaches, based on an AutoContext pipeline intended to make better use of sequence-specific patterns, were considered...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28630050/effectiveness-of-computer-aided-diagnosis-cadx-of-breast-pathology-using-immunohistochemistry-results-of-core-needle-biopsy-samples-for-synaptophysin-oestrogen-receptor-and-ck14-p63-for-classification-of-epithelial-proliferative-lesions-of-the-breast
#4
Ichiro Maeda, Manabu Kubota, Jiro Ohta, Kimika Shinno, Shinya Tajima, Yasushi Ariizumi, Masatomo Doi, Yoshiyasu Oana, Yoshihide Kanemaki, Koichiro Tsugawa, Takahiko Ueno, Masayuki Takagi
AIMS: The aim of this study was to develop a computer-aided diagnosis (CADx) system for identifying breast pathology. METHODS: Two sets of 100 consecutive core needle biopsy (CNB) specimens were collected for test and validation studies. All 200 CNB specimens were stained with antibodies targeting oestrogen receptor (ER), synaptophysin and CK14/p63. All stained slides were scanned in a whole-slide imaging system and photographed. The photographs were analysed using software to identify the proportions of tumour cells that were positive and negative for each marker...
June 19, 2017: Journal of Clinical Pathology
https://www.readbyqxmd.com/read/28625101/a-versatile-method-for-bladder-segmentation-in-computed-tomography-two-dimensional-images-under-adverse-conditions
#5
João Ribeiro Pinto, João Manuel Rs Tavares
This article presents the design and evaluation of an algorithm for urinary bladder segmentation in medical images, from contrastless computed tomography studies of patients suffering from bladder wall tumours. These situations require versatile methods of segmentation, able to adapt to the structural changes the tumours provoke in the bladder wall, reflected as irregularities on the images obtained, creating adversities to the segmentation process. This semi-automatic method uses fuzzy c-means clustering, a Gaussian-curve-based intensity transformation, and active contour models, requiring only the physician's input of a single seed point for each anatomical view, in order to segment the bladder volume in all frames that include it...
June 1, 2017: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
https://www.readbyqxmd.com/read/28622412/textural-analysis-of-early-phase-spatiotemporal-changes-in-contrast-enhancement-of-breast-lesions-imaged-with-an-ultrafast-dce-mri-protocol
#6
Jana Milenković, Mehmet Ufuk Dalmış, Janez Žgajnar, Bram Platel
PURPOSE: New ultrafast view-sharing sequences have enabled breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to be performed at high spatial and temporal resolution. The aim of this study is to evaluate the diagnostic potential of textural features that quantify the spatiotemporal changes of the contrast-agent uptake in computer-aided diagnosis of malignant and benign breast lesions imaged with high spatial and temporal resolution DCE-MRI. METHOD: The proposed approach is based on the textural analysis quantifying the spatial variation of six dynamic features of the early-phase contrast-agent uptake of a lesion's largest cross-sectional area...
June 16, 2017: Medical Physics
https://www.readbyqxmd.com/read/28622338/multi-phase-simultaneous-segmentation-of-tumor-in-lung-4d-ct-data-with-context-information
#7
Zhengwen Shen, Huafeng Wang, Weiwen Xi, Xiaogang Deng, Jin Chen, Yu Zhang
Lung 4D computed tomography (4D-CT) plays an important role in high-precision radiotherapy because it characterizes respiratory motion, which is crucial for accurate target definition. However, the manual segmentation of a lung tumor is a heavy workload for doctors because of the large number of lung 4D-CT data slices. Meanwhile, tumor segmentation is still a notoriously challenging problem in computer-aided diagnosis. In this paper, we propose a new method based on an improved graph cut algorithm with context information constraint to find a convenient and robust approach of lung 4D-CT tumor segmentation...
2017: PloS One
https://www.readbyqxmd.com/read/28621699/diagnostic-value-of-single-source-dual-energy-spectral-computed-tomography-for-papillary-thyroid-microcarcinomas
#8
Lin Li, Yong Wang, De-Hong Luo, Yan-Feng Zhao, Meng Lin, Wei Guo, Lei Hu, Chun-Wu Zhou, Xin-Ming Zhao
BACKGROUND: Ultrasound (US) and computed tomography (CT) are common diagnostic imaging methods for detecting and diagnosing papillary thyroid microcarcinoma (PTMC). However, single-source dual-energy spectral computed tomography (spectral CT) reduces beam hardening artefacts and optimizes contrast, which may add value in detecting PTMC. OBJECTIVE: To investigate values of applying single-source dual-energy spectral CT for diagnosing PTMCs, in comparison with high frequency ultrasound and conventional polychromatic images...
June 10, 2017: Journal of X-ray Science and Technology
https://www.readbyqxmd.com/read/28621286/endodontic-management-of-dilacerated-maxillary-central-incisor-fused-to-a-supernumerary-tooth-using-cone-beam-computed-tomography-an-unusual-clinical-presentation
#9
Thilla S Vinothkumar, Deivanayagam Kandaswamy, Ganesh Arathi, Sathishkumar Ramkumar, Gnanasekaran Felsypremila
AIM: The purpose of this report is to present a case of endodontic management of a dilacerated maxillary central incisor fused to supernumerary tooth unusually appearing as a labial tubercle using cone beam computed tomography (CBCT) as a diagnostic aid. BACKGROUND: Anterior teeth are commonly encountered with aberrant anatomical variations in the crown, number of roots, and root canals. Fusion is an infrequent developmental abnormality in shape of the tooth caused by the union of two adjacent tooth germs...
June 1, 2017: Journal of Contemporary Dental Practice
https://www.readbyqxmd.com/read/28620551/mitochondrial-cardiomyopathy-presenting-as-dilated-phase-of-hypertrophic-cardiomyopathy-diagnosed-with-histological-and-genetic-analyses
#10
Toshiki Kuno, Syohei Imaeda, Yohei Asakawa, Hiroshi Nakamura, Genzou Takemura, Daisuke Asahara, Akira Kanamori, Tomoyuki Kabutoya, Yohei Numasawa
We report a case with 46-year-old man diagnosed with mitochondrial cardiomyopathy in the dilated phase of hypertrophic cardiomyopathy. Since cardiac magnetic resonance imaging, beta-methyl-p-(123)I-iodophenyl-pentadecanoic myocardial scintigraphy, and positron emission tomography/computed tomography revealed no remarkable findings, we performed electron microscopic examination, which aided in diagnosing mitochondrial cardiomyopathy. Muscle biopsy was also compatible with mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes and DNA analysis also concluded it...
2017: Case Reports in Cardiology
https://www.readbyqxmd.com/read/28616787/subtle-radiographic-signs-of-hamate-body-fracture-a-diagnosis-not-to-miss-in-the-emergency-department
#11
Nathan D Cecava, Mary F Finn, Liem T Mansfield
Hamate fractures are estimated to represent 1.7% of all carpal fractures and can occur at the hamulus (hook) or hamate body depending on mechanism of injury. Fractures of the hamate body can be exceedingly difficult to identify on standard wrist and hand radiographs in the emergency department. If the diagnosis is missed in the emergency department, orthopedic referral is often delayed. This can result in lasting functional disability for the patient, as these fractures have a propensity to destabilize the fourth and fifth carpometacarpal (CMC) joints...
June 14, 2017: Emergency Radiology
https://www.readbyqxmd.com/read/28615794/deepinfer-open-source-deep-learning-deployment-toolkit-for-image-guided-therapy
#12
Alireza Mehrtash, Mehran Pesteie, Jorden Hetherington, Peter A Behringer, Tina Kapur, William M Wells, Robert Rohling, Andriy Fedorov, Purang Abolmaesumi
Deep learning models have outperformed some of the previous state-of-the-art approaches in medical image analysis. Instead of using hand-engineered features, deep models attempt to automatically extract hierarchical representations at multiple levels of abstraction from the data. Therefore, deep models are usually considered to be more flexible and robust solutions for image analysis problems compared to conventional computer vision models. They have demonstrated significant improvements in computer-aided diagnosis and automatic medical image analysis applied to such tasks as image segmentation, classification and registration...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28615793/classification-of-clinical-significance-of-mri-prostate-findings-using-3d-convolutional-neural-networks
#13
Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M Tempany, William M Wells, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov
Prostate cancer (PCa) remains a leading cause of cancer mortality among American men. Multi-parametric magnetic resonance imaging (mpMRI) is widely used to assist with detection of PCa and characterization of its aggressiveness. Computer-aided diagnosis (CADx) of PCa in MRI can be used as clinical decision support system to aid radiologists in interpretation and reporting of mpMRI. We report on the development of a convolution neural network (CNN) model to support CADx in PCa based on the appearance of prostate tissue in mpMRI, conducted as part of the SPIE-AAPM-NCI PROSTATEx challenge...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28606722/fully-automated-breast-boundary-and-pectoral-muscle-segmentation-in-mammograms
#14
Andrik Rampun, Philip J Morrow, Bryan W Scotney, John Winder
Breast and pectoral muscle segmentation is an essential pre-processing step for the subsequent processes in computer aided diagnosis (CAD) systems. Estimating the breast and pectoral boundaries is a difficult task especially in mammograms due to artifacts, homogeneity between the pectoral and breast regions, and low contrast along the skin-air boundary. In this paper, a breast boundary and pectoral muscle segmentation method in mammograms is proposed. For breast boundary estimation, we determine the initial breast boundary via thresholding and employ Active Contour Models without edges to search for the actual boundary...
June 9, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28600236/dermoscopic-image-segmentation-via-multi-stage-fully-convolutional-networks
#15
Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Michael Fulham, Dagan Feng
Segmentation of skin lesions is an important step in the automated computer aided diagnosis (CAD) of melanoma. However, existing segmentation methods have a tendency to over- or under-segment the lesions and perform poorly when the lesions have fuzzy boundaries, low contrast with the background, inhomogeneous textures, or contain artifacts. Furthermore, the performance of these methods are heavily reliant on the appropriate tuning of a large number of parameters as well as the use of effective pre-processing techniques such as illumination correction and hair removal...
June 7, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28597764/microct-analysis-of-vascular-morphometry-a-comparison-of-right-lung-lobes-in-the-sugen-hypoxic-rat-model-of-pulmonary-arterial-hypertension
#16
Erin M Faight, Kostas Verdelis, Lee Zourelias, Rong Chong, Raymond L Benza, Kelly J Shields
Pulmonary arterial hypertension (PAH) is a rare disease characterized by significant vascular remodeling within the lung. Clinical computed tomography (CT) scans are routinely used to aid in PAH diagnosis. Animal models, including the Sugen-hypoxic rat model (SU/hyp), of PAH closely mimic human PAH development. We have previously used micro-computed tomography (microCT) to find extensive right lung vascular remodeling in the SU/hyp. We hypothesized that the individual right lung lobes may not contribute equally to overall lung vascular remodeling...
April 2017: Pulmonary Circulation
https://www.readbyqxmd.com/read/28591161/health-related-quality-of-life-among-military-hiv-patients-on-antiretroviral-therapy
#17
Leonard Emuren, Seth Welles, Alison A Evans, Marcia Polansky, Jason F Okulicz, Grace Macalino, Brian K Agan
OBJECTIVE: The aims of this study were: (i) to determine the factors associated with HRQOL at baseline in our cohort, and (ii) to evaluate if there are differences in baseline HRQOL measures by antiretroviral treatment. METHODS: The Short Form 36 (SF-36) was administered between 2006 and 2010 among members of the United States HIV Natural History Study cohort (NHS), and participants who completed the SF-36 were included in the study. Physical component summary (PCS) and mental component summary (MCS) scores were computed based on standard algorithms...
2017: PloS One
https://www.readbyqxmd.com/read/28585375/intra-observer-and-inter-observer-agreements-for-the-measurement-of-dual-input-whole-tumor-computed-tomography-perfusion-in-patients-with-lung-cancer-influences-of-the-size-and-inner-air-density-of-tumors
#18
Qingle Wang, Zhiyong Zhang, Fei Shan, Yuxin Shi, Wei Xing, Liangrong Shi, Xingwei Zhang
BACKGROUND: This study was conducted to assess intra-observer and inter-observer agreements for the measurement of dual-input whole tumor computed tomography perfusion (DCTP) in patients with lung cancer. METHODS: A total of 88 patients who had undergone DCTP, which had proved a diagnosis of primary lung cancer, were divided into two groups: (i) nodules (diameter ≤3 cm) and masses (diameter >3 cm) by size, and (ii) tumors with and without air density. Pulmonary flow, bronchial flow, and pulmonary index were measured in each group...
June 6, 2017: Thoracic Cancer
https://www.readbyqxmd.com/read/28583621/the-importance-of-subpleural-fibrosis-in-the-prognosis-of-patients-with-idiopathic-interstitial-pneumonias
#19
Tae Iwasawa, Tamiko Takemura, Koji Okudera, Toshiyuki Gotoh, Yuma Iwao, Hideya Kitamura, Tomohisa Baba, Takashi Ogura, Mari S Oba
PURPOSE: To compare computer-aided diagnostic results with histological findings obtained by surgical biopsy and evaluate whether subpleural lesion volumes can aid identification of idiopathic pulmonary fibrosis (IPF). MATERIALS AND METHODS: We retrospectively analyzed computed tomography (CT) images of 79 patients (43 with fibrosing nonspecific interstitial pneumonia (fNSIP) and 36 with IPF) using the Gaussian Histogram Normalized Correlation (GHNC) system. We determined the H-pattern based on honeycomb and/or fibrosis with traction bronchiectasis on CT, and measured the H-pattern volume ratio at the biopsy sites and in the subpleural area...
May 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28582921/grouped-fuzzy-svm-with-em-based-partition-of-sample-space-for-clustered-microcalcification-detection
#20
Huiya Wang, Jun Feng, Hongyu Wang
BACKGROUND: Detection of clustered microcalcification (MC) from mammograms plays essential roles in computer-aided diagnosis for early stage breast cancer. OBJECTIVE: To tackle problems associated with the diversity of data structures of MC lesions and the variability of normal breast tissues, multi-pattern sample space learning is required. METHODS: In this paper, a novel grouped fuzzy Support Vector Machine (SVM) algorithm with sample space partition based on Expectation-Maximization (EM) (called G-FSVM) is proposed for clustered MC detection...
May 26, 2017: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
keyword
keyword
101087
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"