Stars
A curated list of resources for using LLMs to develop more competitive grant applications.
CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
PathDino - Rotation-Agnostic Image Representation Learning for Digital Pathology (CVPR 2024)
ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
MICCAI 2023: Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
IEEE TMI 2021: AdaCon: Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
this repo is for Grand Challenge WSSS4LUAD, detail information about the contest is on https://wsss4luad.grand-challenge.org/WSSS4LUAD/
MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.