Pinned Repositories
ADA4MIA
Awesome Active Domain Adaptation for Medical Image Analysis
Awesome-Referring-Image-Segmentation
:books: A collection of papers about Referring Image Segmentation.
FFA-Synthesis
FFA Synthesis from CFP （ACM MM 2024 Workshop）
MTTR
RAOS
[MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
RSVIS
(TMI-2024) Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
RVSD
Language-Driven Interactive Shadow Detection
Serp-Mamba
Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model
SFADA-GTV-Seg
(TMI-2024) Source-Free Active Domain Adaptation (SFADA) for GTV Segmentation across Multiple Hospitals
SFADA-UWF-SLO
(MICCAI 2024 Early Acc)Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset
whq-xxh's Repositories
whq-xxh/ADA4MIA
Awesome Active Domain Adaptation for Medical Image Analysis
whq-xxh/SFADA-GTV-Seg
(TMI-2024) Source-Free Active Domain Adaptation (SFADA) for GTV Segmentation across Multiple Hospitals
whq-xxh/RSVIS
(TMI-2024) Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
whq-xxh/SFADA-UWF-SLO
(MICCAI 2024 Early Acc)Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset
whq-xxh/FFA-Synthesis
FFA Synthesis from CFP （ACM MM 2024 Workshop）
whq-xxh/RVSD
Language-Driven Interactive Shadow Detection
whq-xxh/Serp-Mamba
Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model
whq-xxh/Awesome-Referring-Image-Segmentation
:books: A collection of papers about Referring Image Segmentation.
whq-xxh/MTTR
whq-xxh/RAOS
[MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
whq-xxh/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.