histopathological-images

There are 0 repository under histopathological-images topic.

• breast_cancer_detection

  mrdvince / breast_cancer_detection

  Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.

  pytorchmachinemachine-learningbreast-cancerbreast-cancer-predictiondeep-learningdeep-learning-librarydetectionhistopathological-images
  Language:Python 60

• ssea-lab / DL4ETI

  Computer-aided diagnosis in histopathological images of the Endometrium

  attention-mechanismsconvolutional-neural-networkendometriumhistopathological-images
  Language:Python 20
• patolojiatlasi.github.io

  patolojiatlasi / patolojiatlasi.github.io

  Patoloji Atlası

  patolojiatlasmedical-imagespathologyders-notumedical-schoolhistopathology-imageshistopathological-imageshistopathologywhole-slide-imaginglecture-notes
  Language:HTML 9

• PopDiana / histopathological_cancer_detection

  2020 - Machine Learning License Project

  cancer-detectioncnnhistopathological-imagesmachine-learningneural-network
  Language:Python 6

• aaryapatel007 / Histopathological-Cancer-Detection

  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.

  convolutional-neural-networksdeep-learninghistopathological-imagesmedical-image-analysispcamtpu-acceleration
  Language:Python 4

• gbatsis / histImgClf

  Breast Cancer Histopathological Image Classification

  biomedical-engineeringbreast-cancerdeep-learninghistopathological-imageshistopathology-images
  Language:Jupyter Notebook 1

• patolojiatlasi / EN

  Pathology Atlas (English version of Patoloji Atlası)

  atlashistopathological-imageshistopathologyhistopathology-imageslecture-notesmedical-imagesmedical-schoolpathologywhole-slide-imaging
  Language:HTML 1

• techysanjo / CancerTypeClassificationUsingHistopathologicalImages

  Developed a fine-tuned EfficientNetB0 model which is a pre-trained Convolutional Neural Network (CNN) model to train using lungs and colon cancer dataset and classify if the unseen image belonged to benign, adenocarcinoma or squamous cell carcinoma cancer type.

  cancer-classificationcancer-researchcolon-cancercomputer-visiondeep-learningdeep-neural-networkshistopathological-imageshistopathology-image-analysislung-cancer
  Language:Jupyter Notebook 1

• ambideXtrous9 / Histopathologic-Cancer-Detection

  Histopathologic Cancer Detection

  cnnhistopathological-imageshistopathologypytorchpytorch-lightning
  Language:Jupyter Notebook 0

• Debdut0122 / histopathologic-cancer-detection

  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.

  cancer-detectionconvolutional-neural-networkshistopathological-imageslightgbm-classifiermachine-learningmultilayer-perceptron-networkrandom-forestsvm-classifiertransfer-learning
  Language:Jupyter Notebook 0

• rconfa / Histopathological-Cancer-Detection

  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)

  deep-learningconvolutional-neural-networkshistopathological-imageskaggle-competitionkeraskeras-neural-networksunimibaml
  Language:Jupyter Notebook 0