机构：[1]Tsinghua Univ, Shenzhen Int Grad Sch, Shenzhen, Peoples R China[2]Capital Med Univ, Beijing Tongren Hosp, Beijing, Peoples R China首都医科大学附属北京同仁医院首都医科大学附属同仁医院
Fundus tumors are the most severe retinopathies, and the deep learning segmentation model can locate the lesions and segment the lesion contour as a computer-aided diagnosis method. However, the existing algorithms for segmenting fundus tumor images have poor performance, making them unsuitable for practical clinical use. This project addresses the major issues of data and performance limitations in fundus tumor image segmentation tasks. We collect a new dataset for fundus tumor image segmentation, named FTS, which contains 254 pairs of fundus images with fundus tumor lesions and their segmentation reference images. Furthermore, a new fundus tumor segmentation network called FTSegNet is proposed in this paper. The key component in FTSegNet is the Classification Prior Block(CPB), which can provide the prior feature from classification pre-trained and guide segmentation. To better extract feature information, the Transformer and convolutional layers have been effectively combined. Qualitative and quantitative experiments are conducted on the FTS dataset to verify the effectiveness of the proposed model. We also explore the effectiveness of the CPB and different loss functions in FTSegNet. This method can provide methodological concepts for future fundus tumor segmentation tasks.
基金：
Science and Technology Innovation Committee of Shenzhen-Platform [KCXFZ20211020163813019]; National Natural Science Foundation of China [82000916]
语种：
外文
WOS：
第一作者：
第一作者机构：[1]Tsinghua Univ, Shenzhen Int Grad Sch, Shenzhen, Peoples R China
共同第一作者：
推荐引用方式(GB/T 7714)：
Deng Zhuo,Gong Zheng,Gao Weihao,et al.FTSEGNET: A NOVEL TRANSFORMER-BASED FUNDUS TUMOR SEGMENTATION MODEL GUIDED BY PRE-TRAINED CLASSIFICATION RESULTS[J].IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI 2024.2024,doi:10.1109/ISBI56570.2024.10635845.
APA：
Deng, Zhuo,Gong, Zheng,Gao, Weihao,Yang, Jingyan,Shao, Lei...&Ma, Lan.(2024).FTSEGNET: A NOVEL TRANSFORMER-BASED FUNDUS TUMOR SEGMENTATION MODEL GUIDED BY PRE-TRAINED CLASSIFICATION RESULTS.IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI 2024,,
MLA：
Deng, Zhuo,et al."FTSEGNET: A NOVEL TRANSFORMER-BASED FUNDUS TUMOR SEGMENTATION MODEL GUIDED BY PRE-TRAINED CLASSIFICATION RESULTS".IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI 2024 .(2024)
