Luoxd1996

DTC

Semi-supervised Medical Image Segmentation through Dual-task Consistency

MIDeepSeg

[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

SSL4MIS

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

WORD

[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

WSL4MIS

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

HaN5K

[In Progressing]HaN5K: A project to develop foundation models for structure delineation in head and neck radiotherapy based on more than 5K CT scans and 10K clinical volumetric organs.

InterSeg

[In Progressing] A strong baseline for interactive medical image segmentation, refinement, and annotation.

nnunet_mini

RA-Tool

An easy tool for medical image segmentation results analysis

RAOS

[MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

Luoxd1996/RAOS

[MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

Luoxd1996/nnunet_mini

Luoxd1996/HaN5K

[In Progressing]HaN5K: A project to develop foundation models for structure delineation in head and neck radiotherapy based on more than 5K CT scans and 10K clinical volumetric organs.

Luoxd1996/RA-Tool

An easy tool for medical image segmentation results analysis

Luoxd1996/RobustNPC

[GreenJournal2023] Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: a large-scale and multi-center study

Luoxd1996/AbsegNet

[RedJournal2023]Comprehensive evaluation of a deep learning model for automatic organs at risk segmentation on heterogeneous computed tomography images for abdominal radiotherapy.

Luoxd1996/DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Luoxd1996/face_deid_ct

Function to de-identify the face of patients in head CTs

Luoxd1996/Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

Luoxd1996/LNCTVSeg

[SciData2024]A multicenter dataset for lymph node clinical target volume delineation of nasopharyngeal carcinoma

Luoxd1996/MISA

Medical Image Subregion Partiton Toolkit (MISA)

Luoxd1996/ADA4MIA

Awesome Source-Free Active Domain Adaptation for Medical Image Analysis

Luoxd1996/AI4RAD

Using AI to accelerate adaptive radiotherapy, automatic GTVs, CTVs, OARs delineation, dose estimation, and survival prediction.

Luoxd1996/AL4GTVSeg

[RedJournal2024]Generalizable MRI-based Nasopharyngeal Carcinoma Delineation: Bridging Gaps across Multiple Centers and Raters with Active Learning

Luoxd1996/dataset

Related medical image dataset from OpenMedLab and others.

Luoxd1996/FastGeodis

Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)

Luoxd1996/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Luoxd1996/ACSConv

[IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!

Luoxd1996/AI_TLS_segmentation

Luoxd1996/CLIP-SAM

Luoxd1996/CPMNetv2

CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans

Luoxd1996/cptac

Python packaging for CPTAC data

Luoxd1996/Luoxd1996.github.io

Home page of Xiangde.

Luoxd1996/lyprox

Web app for exploring patterns and correlations in the lymph node level involvements of head & neck cancer patients.

Luoxd1996/matRad

An open source multi-modality radiation treatment planning sytem

Luoxd1996/MIDeepSegGUI2D

Luoxd1996/rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

Luoxd1996/Review_Molecular_profile_prediction_GNN

Spatially-aware Graph Neural Networks and Cross-level Molecular Profile Prediction in Colon Cancer Histopathology: A Retrospective Multicentre Cohort Study，volume 4, number 11, pages: e787-795, The Lancet Digital Health, 2022. https://doi.org/10.1016/S2589-7500(22)00168-6

Luoxd1996/SegRap2023

Segmentation of Organs-at-Risk and Gross Tumor Volume of NPC (SegRap2023)

Luoxd1996/SFADA-GTV-Seg

(TMI-2024) Source-Free Active Domain Adaptation (SFADA) for GTV Segmentation across Multiple Hospitals