9 results found Sort:
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for ...
Created
2018-12-26
100 commits to master branch, last one 6 months ago
Ressources of histopathology datasets
Created
2022-07-22
89 commits to main branch, last one about a month ago
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
Created
2023-08-19
35 commits to main branch, last one 5 months ago
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
Created
2020-04-21
8 commits to master branch, last one about a year ago
1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchua...
Created
2021-07-30
19 commits to main branch, last one about a year ago
PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
Created
2020-07-31
20 commits to master branch, last one 2 years ago
MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
Created
2021-01-22
3 commits to main branch, last one 3 years ago
BIBM2023 regular paper for "Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images"
Created
2023-10-13
15 commits to main branch, last one 7 months ago
The code for Kernel attention transformer (KAT)
Created
2022-06-20
24 commits to main branch, last one about a year ago