dlwk Goto Github PK

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。怎么让它听你的话。

awesome-text-to-image

A Survey on Text-to-Image Generation/Synthesis.

axial-deeplab

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

cgrnet

[BSPC22]The Code of “CGRNet: Contour-Guided Graph Reasoning Network for Ambiguous Biomedical Image Segmentation”

chestx-14-lung-mask-dataset

context-aware-segmentation

The repository contains various gan based architectures for segmentation

ctf-net

[ISBI'20] The Code of “CTF-Net: Retinal vessel segmentation via Deep coarse-to-fine supervision network”

cv_toolbox

data preprocess for cv, including data aug (general and cutout) for object detection, KITTI, COCO data to VOC

dlwk

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

eanet

[PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”

gaml

GAML: Geometry-Aware Mutual Learning for Polyp Segmentation

gsal

[PR2023] The Code of "GSAL: Geometric Structure Adversarial Learning for Robust Medical Image Segmentation"

joint_cod_sod

learning-notes

Personal records, notes and resources on Machine Learning.

learning_research

本人博士期间的科研经验

mb-dcnn

[TMI2020]A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.

mgsa-net

[BSPC21] The Code of “MGSANet: Multi-Granularity Scale-Aware Networks for Hard Pixels Segmentation of Pulmonary Nodules”

msnet

(MICCAI 2021) Automatic Polyp Segmentation via Multi-scale Subtraction Network

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

nodulenet

[MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

paperwriting

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.