FTSNet: Fundus Tumor Segmentation Network on Multiple Scales Guided by Classification Results and Prompts

The segmentation of fundus tumors is critical for ophthalmic diagnosis and treatment, yet it presents unique challenges due to the variability in lesion size and shape. Our study introduces Fundus Tumor Segmentation Network (FTSNet), a novel segmentation network designed to address these challenges...

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Bibliographic Details
Main Authors: Shurui Bai, Zhuo Deng, Jingyan Yang, Zheng Gong, Weihao Gao, Lei Shao, Fang Li, Wenbin Wei, Lan Ma
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Bioengineering
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Online Access:https://www.mdpi.com/2306-5354/11/9/950
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