Segmentation and Classification of Dermoscopic Skin Cancer on Green Channel-Reference-Cited by-同舟云学术

Segmentation and Classification of Dermoscopic Skin Cancer on Green Channel

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
language:
Short-container-title:

Author:

Abouche Hind¹,Jimi Anwar¹,Zrira Nabila²,Benmiloud Ibtissam¹

Affiliation:

1. School of Mines,MECAtronique Team, CPS2E Laboratory National Superior,Rabat,Morocco

2. School of Mines,ADOS Team, LISTD Laboratory National Superior,Rabat,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068562/10068565/10068614.pdf?arnumber=10068614

Reference24 articles.

1. Performance Analysis of Low-Level and High-Level Intuitive Features for Melanoma Detection

2. Qualitative asymmetry measure for melanoma detection

3. Melanoma cade based on abed rule and haralick texture features;almaraz-damian;2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves Millimeter and Submillimeter Waves (MSMW),0

4. Support-vector networks;cortes;Machine Learning,1995

5. Feature extraction from dermoscopy images for melanoma diagnosis

Cited by 3 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. Diabetic retinopathy screening through artificial intelligence algorithms: A systematic review;Survey of Ophthalmology;2024-09

2. MedKnee: A New Deep Learning-Based Software for Automated Prediction of Radiographic Knee Osteoarthritis;Diagnostics;2024-05-10

3. US-Net: A Breast Ultrasound Image Segmentation using Deep Learning;Proceedings of the International Conference on Advances in Social Networks Analysis and Mining;2023-11-06