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20182024
most citedMedical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

223 citations · 493 across the 18 of their papers we have counts for

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9 papers · 1 filter

cs.CV2024

Rethinking Diffusion-Based Image Generators for Fundus Fluorescein Angiography Synthesis on Limited Data

Chengzhou Yu, Huihui Fang, Hongqiu Wang +4

Fundus imaging is a critical tool in ophthalmology, with different imaging modalities offering unique advantages. For instance, fundus fluorescein angiography (FFA) can accurately…

cs.CV2024

ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading

Zhiyuan Yang, Bo Zhang, Yufei Shi +5

Glaucoma is one of the leading causes of vision impairment. Digital imaging techniques, such as color fundus photography (CFP) and optical coherence tomography (OCT), provide quant…

cs.CV2023★ 223 cited

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Junde Wu, Wei Ji, Yuanpei Liu +4

The Segment Anything Model (SAM) has recently gained popularity in the field of image segmentation due to its impressive capabilities in various segmentation tasks and its prompt-b…

cs.CV2022★ 1 cited

ExpNet: A unified network for Expert-Level Classification

Junde Wu, Huihui Fang, Yehui Yang +4

Different from the general visual classification, some classification tasks are more challenging as they need the professional categories of the images. In the paper, we call them…

cs.CV2022★ 140 cited

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Junde Wu, Rao Fu, Huihui Fang +5

Diffusion probabilistic model (DPM) recently becomes one of the hottest topic in computer vision. Its image generation application such as Imagen, Latent Diffusion Models and Stabl…

cs.CV2022

Dataset and Evaluation algorithm design for GOALS Challenge

Huihui Fang, Fei Li, Huazhu Fu +3

Glaucoma causes irreversible vision loss due to damage to the optic nerve, and there is no cure for glaucoma.OCT imaging modality is an essential technique for assessing glaucomato…

cs.CV2022

SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer

Junde Wu, Huihui Fang, Fangxin Shang +5

Clinically, the accurate annotation of lesions/tissues can significantly facilitate the disease diagnosis. For example, the segmentation of optic disc/cup (OD/OC) on fundus image w…

cs.CV2022★ 3 cited

GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

Junde Wu, Huihui Fang, Fei Li +26

Color fundus photography and Optical Coherence Tomography (OCT) are the two most cost-effective tools for glaucoma screening. Both two modalities of images have prominent biomarker…

cs.CV2018★ 1 cited

Greedy Graph Searching for Vascular Tracking in Angiographic Image Sequences

Huihui Fang, Jian Yang, Jianjun Zhu +5

Vascular tracking of angiographic image sequences is one of the most clinically important tasks in the diagnostic assessment and interventional guidance of cardiac disease. However…