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dismir

dl-based-tumor-classification

Deep Learning Based Tumor Type Classification Using Gene Expression Data

dsb2017

The solution of team 'grt123' in DSB2017

dsb3tutorial

dsmil-wsi

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

fewshot-camelyon

github-example

hia

Histopathology Image Analysis

histofl

Federated Learning for Computational Pathology - Medical Image Analysis

histopathological-data-experiments

Repo for my experiments with histopathological dataset: Starting with KIMIA960 path, provided by KIMIA lab at university of waterloo

imageprocessing100wen

「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。

keras_train_visualization

Keras模型训练实时可视化

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

lffd-a-light-and-fast-face-detector-for-edge-devices

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

lidc-idri-segmentation

This is the segmentation process of the LIDC-IDRI dataset. Checkout my preprocessing repository to use this repository

ltoad_all_type_exclude_sex_adamax

luna16-lung-nodule-analysis-2016-challenge

LUNA16-Lung-Nodule-Analysis-2016-Challenge

lung_nodule

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

mgicnn

Implementation of "Multi-scale Gradual Itegration Convolutional Neural Network for False Positive Reduction in Pulmonary Nodule Detection"

mil-nature-medicine-2019

modelsgenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

mrmd

ms-da-mil-cnn

Multi-scale Domain-adversarial Multiple Instance Learning CNN (CVPR2020)

msk-impact-io

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

nystrom-attention

Implementation of Nyström Self-attention, from the paper Nyströmformer

patch-gcn

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

pathology_ssl

pathomicfusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI