Automated Skin Cancer Detection and Classification using Cat Swarm Optimization with a Deep Learning Model
The application of Computer Vision (CV) and image processing in the medical sector is of great significance, especially in the recognition of skin cancer using dermoscopic images. Dermoscopy denotes a non-invasive imaging system that offers clear visuals of skin cancers, allowing dermatologists to a...
Main Authors: | Vijay Arumugam Rajendran, Saravanan Shanmugam |
---|---|
Format: | Article |
Language: | English |
Published: |
D. G. Pylarinos
2024-02-01
|
Series: | Engineering, Technology & Applied Science Research |
Subjects: | |
Online Access: | https://etasr.com/index.php/ETASR/article/view/6681 |
Similar Items
-
Cat Swarm Optimization-Based Computer-Aided Diagnosis Model for Lung Cancer Classification in Computed Tomography Images
by: Thavavel Vaiyapuri, et al.
Published: (2022-05-01) -
Henry Gas Solubility Optimization Algorithm based Feature Extraction in Dermoscopic Images Analysis of Skin Cancer
by: Marwa Obayya, et al.
Published: (2023-04-01) -
Internet of Things-Assisted Smart Skin Cancer Detection Using Metaheuristics with Deep Learning Model
by: Marwa Obayya, et al.
Published: (2023-10-01) -
DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images
by: Maryam Tahir, et al.
Published: (2023-04-01) -
MobileSkin: Classification of Skin Lesion Images Acquired Using Mobile Phone-Attached Hand-Held Dermoscopes
by: Abdurrahim Yilmaz, et al.
Published: (2022-08-01)