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axial-deeplab

This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)

cbis-ddsm-preprocessing

ce-net

The manuscript has been accepted in TMI.

context-aggregation-network

Context aggregation network for semantic labeling in aerial images.

cs231n-mammogram

Classify mammograms as benign/malignant, using the CBIS-DDSM dataset. Class project for CS231n at Stanford

dilation

Dilated Convolution for Semantic Image Segmentation

exercises

just some test exercises

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

gan_breast_mammography_segmentation

SegNet-cGAN and UNET-cGAN for Breast Mammography Segmentation

graphcut

Graph cut image segmentation with custom GUI.

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

latexfileforxmuthesis

厦大硕士论文Latex模板

mammographic-mass-cad-via-pseudo-color-mammogram-and-mask-r-cnn

Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN

mdvsfa

PyTorch implementation of ICCV2019 paper Miss Detection vs. False Alarm: Adversarial Learing for Small Object Segmentation in Infrared Images.

mdvsfa_cgan

The tensorflow and pytorch implementations of the MDvsFA_cGAN model which is proposed in ICCV2019 paper "Huan Wang, Luping Zhou and Lei Wang. Miss Detection vs. False Alarm: Adversarial Learing for Small Object Segmentation in Infrared Images. International Conference on Computer Vision, Oct.27-Nov.2,2019. Seoul, Republic of Korea".

medical-transformer

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

microcalcification_enhancement

Worked on the enhancement of microcalcifications in mammogram using normalised tsallis entropy for detection of breast cancer.

nnunet

object-detection-gui

A simple GUI for YOLO breast cancer mass detection

ocmist

GUI for MICCAI 2019 "Interactive deep editing framework for medical image segmentation" (One-click medical image segmentation tool!)

paddleseg

End-to-end image segmentation kit based on PaddlePaddle.

projet_deusto

Mammographic mass segmentation using machine learning

pytorch-unet

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

raunet

RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments (ICONIP19)

reconet

Tensor Low-rank Reconstruction for Semantic Segmentation

research

Code used for research

segmentation-algorithm-for-mammographic-masses

A segmentation algorithm for mass lesions in mammography.

segmentation_gui

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch