LSCS-Net: A lightweight skin cancer segmentation network with densely connected multi-rate atrous convolution-Reference-Cited by-同舟云学术

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LSCS-Net: A lightweight skin cancer segmentation network with densely connected multi-rate atrous convolution

Published:2024-05 Issue: Volume:173 Page:108303
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Din Sadia^ORCID,Mourad Omar,Serpedin Erchin^ORCID

Funder

Qatar National Library

Publisher

Elsevier BV

Reference65 articles.

1. Cancer statistics, 2021;Siegel Rebecca;CA Cancer J. Clin.,2021

2. DONet: Dual objective networks for skin lesion segmentation;Wang,2020

3. FAT-net: Feature adaptive transformers for automated skin lesion segmentation;Wu;Med. Image Anal.,2022

4. Automated detection and segmentation of vascular structures of skin lesions seen in dermoscopy, with an application to basal cell carcinoma classification;Kharazmi;IEEE J. Biomed. Health Inf.,2016

5. A survey on deep learning for skin lesion segmentation;Mirikharaji;Med. Image Anal.,2023

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