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3d-lung-nodules-detection

【医学影像分析】3D-CT影像的肺结节检测（LUNA16数据集）

3dfasterrcnn_lungnoduledetector

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

deeplung

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

deeplung-3d_lung_nodule_detection

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

extractpatchesfromannotatedregions

This pipeline will extract the annotated regions of WSI annotated by ASAP software based on the inputs such as patch size and resolution

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

image_slicer

Split images into tiles. Join the tiles back together.

lung

for the paper of 3D Inception CNN For Automatic Lung Nodule Detection

lymph_node_metastasis_detection

Identify metastatic tissue in histopathologic scans of lymph node sections

lymphaticcancerviz

mmdetection

OpenMMLab Detection Toolbox and Benchmark

patchify.py

A library that helps you split image into small, overlappable patches, and merge patches into original image.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

segmentation

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

smoothly-blend-image-patches

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

tcia-python3-downloader

The Cancer Imaging Archive (TCIA) Web Service Client Python Application

tnscui2020

3 Steps achieve SOTA in MICCAI 2020 Thyroid Nodule Segmentation Challenge

u_net_liver