FAT-Net: Feature adaptive transformers for automated skin lesion segmentation

Author:

Wu Huisi,Chen Shihuai,Chen Guilian,Wang Wei,Lei Baiying,Wen Zhenkun

Funder

Shenzhen University

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference66 articles.

1. Illumination-based transformations improve skin lesion segmentation in dermoscopic images;Abhishek,2020

2. A novel focal tversky loss function with improved attention u-net for lesion segmentation;Abraham,2019

3. Dermoscopic image segmentation via multistage fully convolutional networks;Bi;IEEE Trans. Biomed. Eng.,2017

4. End-to-end object detection with transformers;Carion,2020

5. Lesion border detection in dermoscopy images;Celebi;Computerized Medical Imaging and Graphics,2009

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