Topic: histopathological-images Goto Github
Some thing interesting about histopathological-images
Some thing interesting about histopathological-images
histopathological-images,Created an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data used for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset.
User: aaryapatel007
histopathological-images,Histopathologic Cancer Detection
User: ambidextrous9
histopathological-images,This is the course project of PRML course. In this project, we have implemented various deep learning algorithms like Transfer Learning, CNN and MLP, and some other classification algorithms like Random Forest, LightGBM etc. to classify histopathological images to reduce the human intervention yet providing accurate classification results.
User: debdut0122
histopathological-images,Breast Cancer Histopathological Image Classification
User: gbatsis
histopathological-images,Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
User: mrdvince
histopathological-images,Pathology Atlas (English version of Patoloji Atlası)
Organization: patolojiatlasi
Home Page: https://www.patolojiatlasi.com/EN/
histopathological-images,Patoloji Atlası
Organization: patolojiatlasi
Home Page: https://www.patolojiatlasi.com/
histopathological-images,2020 - Machine Learning License Project
User: popdiana
histopathological-images,Created an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data used for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset (does not contain duplicates)
User: rconfa
histopathological-images,Computer-aided diagnosis in histopathological images of the Endometrium
Organization: ssea-lab
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