camelyon16

There are 1 repository under camelyon16 topic.

CLAM
mahmoodlab / CLAM
Open source tools for computational pathology - Nature BME
bioimage-informatics camelyon16 camelyon17 clam computational-pathology data-efficient deep-learning digital-pathology histopathology mahmoodlab pathology quantitative-pathology tcga-data weakly-supervised-learning whole-slide-imaging
Language:Python 1126
baidu-research / NCRF
Cancer metastasis detection with neural conditional random field (NCRF)
camelyon16 conditional-random-fields deep-learning pathology whole-slide-imaging
Language:Python 757
dazhangyu123 / ACMIL
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
bracs camelyon16 computational-pathology digital-pathology multiple-instance-learning pathology-image whole-slide-image acmil weakly-supervised-learning histopathology
Language:Python 64
SSL_CR_Histo
srinidhiPY / SSL_CR_Histo
Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
self-supervised-learning digital-pathology camelyon16 breastpathq teacher-student-training annotation-efficient semi-supervised-learning deep-learning histopathology
Language:Python 62
koriavinash1 / DigitalHistoPath
histopathology digital-pathology whole-slide-imaging deep-learning uncertainty-quantification digestpath paip camelyon16 camelyon camelyon17 segmentation-models
Language:Jupyter Notebook 23
Jonas1312 / PFA-ScanNet
PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).
pfa-scannet pfa scannet wsi breast cancer camelyon17 camelyon16 camelyon
Language:Python 22
nihaomiao / PRICAI18_MVF-CasCNN
The implementation of our pricai18 paper "Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection."
pathology camelyon16 whole-slide-image breast-cancer-detection
Language:Python 6
namandangi / wsi
Image Processing and CV on Whole Slide Images
computer-vision image-processing whole-slide-imaging wsi camelyon16
Language:Jupyter Notebook 4
dazhangyu123 / AEM
AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification
aem bracs camelyon16 camelyon17 computational-pathology digital-pathology multiple-instance-learning pathology-image weakly-supervised-learning whole-slide-image
Language:Python 3
NMPoole / CS5199-Dissertation
Dissertation completed for the award of MSci in Computer Science. This dissertation is about automated breast cancer detection in low-resolution whole-slide pathology images using a deep convolutional neural network pipeline.
breast-cancer-detection camelyon camelyon16 camelyon17 convolutional-neural-networks deep-learning low-resolution machine-learning medical-image-analysis pytorch tensorboard-pytorch tumour-classification whole-slide-image dissertation dissertation-project python cnn-pytorch image-processing docker dockerfile
Language:Python 1