AIMC Topic: Biopsy
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Lupus nephritis pathology prediction with clinical indices.
Scientific reports
Jul 6, 2018
Effective treatment of lupus nephritis and assessment of patient prognosis depend on accurate pathological classification and careful use of acute and chronic pathological indices. Renal biopsy can provide most reliable predicting power. However, cli...
Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination.
BioMed research international
Jun 21, 2018
This research aims to address the problem of discriminating benign cysts from malignant masses in breast ultrasound (BUS) images based on Convolutional Neural Networks (CNNs). The biopsy-proven benchmarking dataset was built from 1422 patient cases c...
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Jun 13, 2018
The breast stromal microenvironment is a pivotal factor in breast cancer development, growth and metastases. Although pathologists often detect morphologic changes in stroma by light microscopy, visual classification of such changes is subjective and...
Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study.
Gut
May 5, 2018
OBJECTIVE: We aimed to evaluate the performance of the newly developed deep learning Radiomics of elastography (DLRE) for assessing liver fibrosis stages. DLRE adopts the radiomic strategy for quantitative analysis of the heterogeneity in two-dimensi...
Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis.
Computers in biology and medicine
Apr 27, 2018
A large amount of digital image material is routinely captured during esophagogastroduodenoscopies but, for the most part, is not used for confirming the diagnosis process of celiac disease which is primarily based on histological examination of biop...
Gastroscopy
Celiac Disease
Observer Variation
Automation
Pattern Recognition, Automated
Decision Making
Biopsy
Image Interpretation, Computer-Assisted
Machine Learning
Algorithms
Humans
Endoscopy
Neural Networks, Computer
Image Processing, Computer-Assisted
Diagnosis, Computer-Assisted
Duodenum
Deep Learning
MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.
Artificial intelligence in medicine
Apr 26, 2018
MOTIVATION: Identifying carcinoma subtype can help to select appropriate treatment options and determining the subtype of benign lesions can be beneficial to estimate the patients' risk of developing cancer in the future. Pathologists' assessment of ...
A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.
PloS one
Apr 3, 2018
Over 26 million people worldwide suffer from heart failure annually. When the cause of heart failure cannot be identified, endomyocardial biopsy (EMB) represents the gold-standard for the evaluation of disease. However, manual EMB interpretation has ...
A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer.
Journal of healthcare engineering
Mar 19, 2018
OBJECT: Pathologic prediction of prostate cancer can be made by predicting the patient's prostate metastasis prior to surgery based on biopsy information. Because biopsy variables associated with pathology have uncertainty regarding individual patien...
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