quiil Goto Github PK

cafenet

CaFe-Net : Centroid-aware feature recalibration for cancer grading in pathology images

camelnet

CaMeL-Net : Centroid-aware Metric Learning for Efficient Multi-class Cancer Classification in Pathology Images

camp

Implementation of "CAMP: Continuous and Adaptive Learning Model in Pathology"

dataset-region-aggregated-attention-cnn-for-disease-detection-in-fruit-images

Dataset-Region-Aggregated-Attention-CNN-for-Disease-Detection-in-Fruit-Images

dax-net

Implementation of DAX-Net: "DAX-Net: a dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images."

dense-multipath-nn-prostate-segmentation

This repository contains the code for prostate segmentation in MRI using deep dense multi-path neural network. To be updated...

gpc

GPC: Generative and general pathology image classifier (MedAGI 2023)

grad_mix

GradMix for nuclei segmentation and classification in imbalanced pathology image datasets: MICCAI 2022

histopathologymri_analysis

hover_net

Large scale study about nuclei instance segmentation method on H&E histopatholgy images.

iccv_2023_cvamd-order-vit-

Order-ViT: Order Learning Vision Transformer for Cancer Classification in Pathology Images

impash

ECCV-MCV2022 paper: "IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification"

jco_learning-pytorch

Medical Image Analysis (MEDIA) paper: Joint Categorical and Ordinal Learning for Cancer Grading in Pathology Images

kbsmc_colon_cancer_grading_dataset

KBSMC colon cancer grading dataset repository

kbsmc_colon_tma_cancer_grading_1024_dataset

KBSMC_colon_tma_cancer_grading_1024_dataset

kbsmc_gastric_cancer_grading_dataset

KBSMC colon cancer grading dataset repository

kd_corff

DART_MICCAI2023: Boosting knowledge distillation via random Fourier features for prostate cancer grading in histopathology images

moma

MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis

msbp_net

IEEE J-BHI paper: MSBP_Net: Multi-scale binary pattern encoding network for cancer classification in pathology images

pytorch_pipeline

quiil_thompson_solution

Official implementation of solutions for the Thompson challenge, encompassing Track 1 - Tasks 1 & 2: Action Recognition & Anticipation, and Track 2 - Task 1: Visual Question Answering (VQA).

qupathtools

Exporting and Importing Annotation from and to QuPath

scale-embedding-shared-neural-network

sonnet

SONNET: A self-guided ordinal regression neural network for segmentation and classification of nuclei in large-scale multi-tissue histology images

sonnet_pytorch

sonnet implemented with pytorch

tqx

Towards a text-based quantitative and explainable histopathology image analysis (MICCAI 2024)

tumor-segmentation-paip2019

unsupervisedtumorcharacterizationcgan