Skin lesion segmentation from dermoscopic images by using Mask R-CNN, Retina-Deeplab, and graph-based methods-Reference-Cited by-同舟云学术

Skin lesion segmentation from dermoscopic images by using Mask R-CNN, Retina-Deeplab, and graph-based methods

Published:2021-05 Issue: Volume:67 Page:102533
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Bagheri Fatemeh,Tarokh Mohammad Jafar,Ziaratban Majid

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference59 articles.

1. “https://www.cancer.org/cancer/melanoma-skin-cancer/about/key-statistics.html,” The American Cancer Society medical and editorial content team, 2020.

2. Comparison between morphological parameters in pigmented skin lesion images acquired by means of epiluminescence surface microscopy and polarized-light videomicroscopy;Pellacani;Clin. Dermatol.,2002

3. Lesion border detection in dermoscopy images;Celebi;Comput. Med. Imaging Graph.,2009

4. A state-of-the-art survey on lesion border detection in dermoscopy images;Celebi;Dermoscopy Image Anal.,2015

5. Automated melanoma recognition;Ganster;IEEE Trans. Med. Imaging,2001

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CACBL-Net: a lightweight skin cancer detection system for portable diagnostic devices using deep learning based channel attention and adaptive class balanced focal loss function;Multimedia Tools and Applications;2024-06-06

2. Improving Skin Lesion Segmentation with Self-Training;Cancers;2024-03-11

3. Improved Skin Disease Classification with Mask R-CNN and Augmented Dataset;Cybernetics and Systems;2023-12-23

4. TLR-Net :Transfer Learning in Residual U-Net for Enhancing Skin Lesion Segmentation;Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing;2023-12-15

5. Enhancing Skin Disease Segmentation with Weighted Ensemble Region-Based Convolutional Network;RAiSE-2023;2023-12-12