AIMC Topic: Biopsy

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Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk.

PloS one Apr 15, 2020
Terminal duct lobular unit (TDLU) involution is the regression of milk-producing structures in the breast. Women with less TDLU involution are more likely to develop breast cancer. A major bottleneck in studying TDLU involution in large cohort studie...
Cohort Studies Image Processing, Computer-Assisted Age Factors Biopsy Breast Breast Neoplasms Middle Aged Risk Assessment Deep Learning Humans Female Reproducibility of Results Risk Factors Adult
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Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD.

Annals of diagnostic pathology Apr 12, 2020
Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severity of non-alcoholic fatty liver disease (NAFLD) and its response to therapy in clinical practice and research studies. Our aim was to develop an integr...
Liver Biopsy Pathologists Supervised Machine Learning Non-alcoholic Fatty Liver Disease Artificial Intelligence Severity of Illness Index Image Processing, Computer-Assisted Liver Cirrhosis Practice Patterns, Physicians' Clinical Trials as Topic Humans Organ Dysfunction Scores Fibrosis Eosine Yellowish-(YS) Azo Compounds Methyl Green Collagen Automation Portal Vein
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Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology.

European radiology Apr 8, 2020
OBJECTIVES: To compare the diagnostic accuracy of texture analysis (TA)-derived parameters combined with machine learning (ML) of non-contrast-enhanced T1w and T2w fat-saturated (fs) images with MR elastography (MRE) for liver fibrosis quantification...
Female Humans Magnetic Resonance Imaging Male Machine Learning Middle Aged Prospective Studies Liver ROC Curve Biopsy Liver Cirrhosis Elasticity Imaging Techniques
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Automated detection algorithm for C4d immunostaining showed comparable diagnostic performance to pathologists in renal allograft biopsy.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Mar 26, 2020
A deep learning-based image analysis could improve diagnostic accuracy and efficiency in pathology work. Recently, we proposed a deep learning-based detection algorithm for C4d immunostaining in renal allografts. The objective of this study is to ass...
Immunohistochemistry Allografts Complement C4b Deep Learning Graft Rejection Peptide Fragments Biopsy Humans Kidney Transplantation Female Male Middle Aged
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High-throughput quantitative histology in systemic sclerosis skin disease using computer vision.

Arthritis research & therapy Mar 14, 2020
BACKGROUND: Skin fibrosis is the clinical hallmark of systemic sclerosis (SSc), where collagen deposition and remodeling of the dermis occur over time. The most widely used outcome measure in SSc clinical trials is the modified Rodnan skin score (mRS...
Humans Neural Networks, Computer Severity of Illness Index Deep Learning Cohort Studies Principal Component Analysis Biopsy Algorithms Female Adult Male Middle Aged Methyl Green Skin Scleroderma, Localized Azo Compounds Scleroderma, Systemic Eosine Yellowish-(YS)
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Artificial Intelligence - Changing the Field of Prostate Cancer?

Irish medical journal Mar 13, 2020
Prostatic Neoplasms Biopsy Surgery, Computer-Assisted Medical Oncology Urology Artificial Intelligence Algorithms Male Diagnosis, Computer-Assisted Magnetic Resonance Imaging Humans
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Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis.

Gastroenterology Feb 12, 2020
BACKGROUND & AIMS: There are intra- and interobserver variations in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for histologic evaluation. We sought to develop a deep neural network system for consistent, objecti...
Humans Databases, Factual Biopsy Remission Induction Image Interpretation, Computer-Assisted Colon Aged, 80 and over Colonoscopy Prospective Studies Severity of Illness Index Young Adult Female Adolescent Diagnosis, Computer-Assisted Adult Reproducibility of Results Treatment Outcome Male Deep Learning Aged Wound Healing Middle Aged Colitis, Ulcerative Predictive Value of Tests
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Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.

The Lancet. Oncology Jan 8, 2020
BACKGROUND: An increasing volume of prostate biopsies and a worldwide shortage of urological pathologists puts a strain on pathology departments. Additionally, the high intra-observer and inter-observer variability in grading can result in overtreatm...
Aged Prostatic Neoplasms Humans Male Neoplasm Grading Artificial Intelligence Middle Aged Biopsy Prospective Studies Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Reproducibility of Results Predictive Value of Tests Sweden
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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.

The Lancet. Oncology Jan 8, 2020
BACKGROUND: The Gleason score is the strongest correlating predictor of recurrence for prostate cancer, but has substantial inter-observer variability, limiting its usefulness for individual patients. Specialised urological pathologists have greater ...
Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Prostatic Neoplasms Neoplasm Grading Biopsy Image Interpretation, Computer-Assisted Observer Variation Humans Automation, Laboratory Retrospective Studies Reproducibility of Results Male
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Deep learning enables pathologist-like scoring of NASH models.

Scientific reports Dec 5, 2019
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis (NASH) are diseases of major importance with a high unmet medical need. Efficacy studies on novel compounds to treat NAFLD/NASH using disease models a...
Image Processing, Computer-Assisted Biopsy Humans Mice Feasibility Studies Animals Rats Non-alcoholic Fatty Liver Disease Severity of Illness Index Disease Models, Animal Microscopy Deep Learning Liver Datasets as Topic
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