Quantitative Imaging and Informatics Laboratory (QuIIL)

Sonnet

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

Grad_Mix

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

KBSMC_colon_cancer_grading_dataset

KBSMC colon cancer grading dataset repository

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."

TQx

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

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...

JCO_Learning-pytorch

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

KBSMC_colon_tma_cancer_grading_1024_dataset

KBSMC_colon_tma_cancer_grading_1024_dataset

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).

CaFeNet

CaFe-Net : Centroid-aware feature recalibration for cancer grading 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

GPC

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

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"

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

QuPathTools

Exporting and Importing Annotation from and to QuPath

SCUBa-Net

Implementation of SCUBa-Net: "Spatially-constrained and -unconstrained bi-graph interaction network for multi-organ pathology image classification."

Sonnet_pytorch

sonnet implemented with pytorch

Tumor-segmentation-PAIP2019

UnsupervisedTumorCharacterizationCGAN

BenchmarkingPathologyFoundationModels

CaMeLNet

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

FALFormer

Implementation of "Feature-aware Landmarks self-attention for Whole-slide Image Classification"

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