AIMC Topic: Biopsy

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Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network.

European radiology Aug 29, 2019
OBJECTIVE: To present a deep learning-based approach for semi-automatic prostate cancer classification based on multi-parametric magnetic resonance (MR) imaging using a 3D convolutional neural network (CNN).
Area Under Curve Prostatic Neoplasms Biopsy Diffusion Magnetic Resonance Imaging Sensitivity and Specificity Male Deep Learning ROC Curve Multiparametric Magnetic Resonance Imaging Humans
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Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.

European journal of cancer (Oxford, England : 1990) Aug 14, 2019
BACKGROUND: Recently, convolutional neural networks (CNNs) systematically outperformed dermatologists in distinguishing dermoscopic melanoma and nevi images. However, such a binary classification does not reflect the clinical reality of skin cancer s...
Female Melanoma Skin Neoplasms Dermoscopy Humans Neural Networks, Computer Algorithms Biopsy Dermatologists Hospitals, University Nevus Sensitivity and Specificity Male Surveys and Questionnaires Diagnosis, Differential
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Deep neural networks are superior to dermatologists in melanoma image classification.

European journal of cancer (Oxford, England : 1990) Aug 8, 2019
BACKGROUND: Melanoma is the most dangerous type of skin cancer but is curable if detected early. Recent publications demonstrated that artificial intelligence is capable in classifying images of benign nevi and melanoma with dermatologist-level preci...
Image Interpretation, Computer-Assisted Nevus ROC Curve Biopsy Skin Dermatologists Humans Neural Networks, Computer Algorithms Melanoma Skin Neoplasms Dermoscopy Reproducibility of Results Surveys and Questionnaires
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Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions.

JAMA network open Aug 2, 2019
IMPORTANCE: Following recent US Food and Drug Administration approval, adoption of whole slide imaging in clinical settings may be imminent, and diagnostic accuracy, particularly among challenging breast biopsy specimens, may benefit from computerize...
Humans Neural Networks, Computer Biopsy Registries Carcinoma, Intraductal, Noninfiltrating Reference Standards Carcinoma, Ductal Machine Learning Female Sensitivity and Specificity Breast Neoplasms
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Noninvasive Evaluation of Liver Fibrosis Reverse Using Artificial Neural Network Model for Chronic Hepatitis B Patients.

Computational and mathematical methods in medicine Jul 21, 2019
The diagnostic performance of an artificial neural network model for chronic HBV-induced liver fibrosis reverse is not well established. Our research aims to construct an ANN model for estimating noninvasive predictors of fibrosis reverse in chronic ...
Mathematical Concepts Female China Biopsy Humans Adult ROC Curve Models, Biological Neural Networks, Computer Male Liver Cirrhosis Prospective Studies Hepatitis B, Chronic Middle Aged Liver Biomarkers Remission Induction
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Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images.

European journal of cancer (Oxford, England : 1990) Jul 18, 2019
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high discordance between individual pathologists. For melanoma, the literature reports on 25-2...
Humans Image Interpretation, Computer-Assisted Predictive Value of Tests Melanoma Observer Variation Biopsy Nevus Diagnosis, Computer-Assisted Pathologists Skin Neoplasms Deep Learning Microscopy Diagnosis, Differential Reproducibility of Results
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Transbronchial biopsy catheter enhanced by a multisection continuum robot with follow-the-leader motion.

International journal of computer assisted radiology and surgery Jul 9, 2019
PURPOSE: Current manual catheters for transbronchial biopsy in the lung lack a steering ability, which hampers a physician's ability to reach nodules in the peripheral lung. The objective of this paper is to design and build a multisection robot with...
Lung Bronchoscopy Printing, Three-Dimensional Robotics Equipment Design Biopsy Catheters Humans
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A Deep Learning Convolutional Neural Network Can Recognize Common Patterns of Injury in Gastric Pathology.

Archives of pathology & laboratory medicine Jun 27, 2019
CONTEXT.—: Most deep learning (DL) studies have focused on neoplastic pathology, with the realm of inflammatory pathology remaining largely untouched.
Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Biopsy Stomach Diseases Helicobacter Infections Humans Helicobacter pylori Neural Networks, Computer Gastritis Reproducibility of Results Stomach
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Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.

European radiology Jun 11, 2019
OBJECTIVE: The purpose of this study was: To test whether machine learning classifiers for transition zone (TZ) and peripheral zone (PZ) can correctly classify prostate tumors into those with/without a Gleason 4 component, and to compare the performa...
Humans Image Interpretation, Computer-Assisted Machine Learning Diffusion Magnetic Resonance Imaging Retrospective Studies Sensitivity and Specificity Prostatic Neoplasms Male Neoplasm Grading Middle Aged Radiologists Clinical Competence Biopsy Area Under Curve
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Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children.

JAMA network open Jun 5, 2019
IMPORTANCE: Duodenal biopsies from children with enteropathies associated with undernutrition, such as environmental enteropathy (EE) and celiac disease (CD), display significant histopathological overlap.
Biopsy Child Nutrition Disorders Malabsorption Syndromes Celiac Disease Humans Prospective Studies Neural Networks, Computer Infant Female Machine Learning Child, Preschool Sensitivity and Specificity Child Male Duodenum
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