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Name: Quantitative Imaging and Informatics Laboratory (QuIIL)
Type: Organization
Bio: QuIIL
Location: Korea University
Blog: kwaklab.net
Name: Quantitative Imaging and Informatics Laboratory (QuIIL)
Type: Organization
Bio: QuIIL
Location: Korea University
Blog: kwaklab.net
CaFe-Net : Centroid-aware feature recalibration for cancer grading in pathology images
CaMeL-Net : Centroid-aware Metric Learning for Efficient Multi-class Cancer Classification in Pathology Images
Implementation of "CAMP: Continuous and Adaptive Learning Model in Pathology"
Dataset-Region-Aggregated-Attention-CNN-for-Disease-Detection-in-Fruit-Images
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."
This repository contains the code for prostate segmentation in MRI using deep dense multi-path neural network. To be updated...
GPC: Generative and general pathology image classifier (MedAGI 2023)
GradMix for nuclei segmentation and classification in imbalanced pathology image datasets: MICCAI 2022
Large scale study about nuclei instance segmentation method on H&E histopatholgy images.
Order-ViT: Order Learning Vision Transformer for Cancer Classification in Pathology Images
ECCV-MCV2022 paper: "IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification"
Medical Image Analysis (MEDIA) paper: Joint Categorical and Ordinal Learning for Cancer Grading in Pathology Images
KBSMC colon cancer grading dataset repository
KBSMC_colon_tma_cancer_grading_1024_dataset
KBSMC colon cancer grading dataset repository
DART_MICCAI2023: Boosting knowledge distillation via random Fourier features for prostate cancer grading in histopathology images
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis
IEEE J-BHI paper: MSBP_Net: Multi-scale binary pattern encoding network for cancer classification in pathology images
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).
Exporting and Importing Annotation from and to QuPath
SONNET: A self-guided ordinal regression neural network for segmentation and classification of nuclei in large-scale multi-tissue histology images
sonnet implemented with pytorch
Towards a text-based quantitative and explainable histopathology image analysis (MICCAI 2024)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.