Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning
Skin cancer is among the most prevalent cancers globally, emphasizing the need for early detection and accurate diagnosis to improve outcomes. Traditional diagnostic methods, based on visual examination, are subjective, time-intensive, and require specialized expertise. Current artificial intelligen...
Saved in:
Main Authors: | Syed Adil Hussain Shah, Syed Taimoor Hussain Shah, Roa’a Khaled, Andrea Buccoliero, Syed Baqir Hussain Shah, Angelo Di Terlizzi, Giacomo Di Benedetto, Marco Agostino Deriu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Journal of Imaging |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-433X/10/12/332 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive Particle Swarm Optimization Algorithm and Application Model Based on Diversity-Driven Optimization
by: Jingwei Ming, et al.
Published: (2024-01-01) -
Improving Diabetes Prediction by Selecting Optimal K and Distance Measures in KNN Classifier
by: Emad Majeed Hameed, et al.
Published: (2024-09-01) -
Feature representation via graph-regularized entropy-weighted nonnegative matrix factorization
by: Hazhir Sohrabi, et al.
Published: (2024-10-01) -
Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms
by: Huseyin Kunt, et al.
Published: (2025-01-01) -
Comparative study of power analysis attacks based on template and KNN algorithm
by: Jifang JIN, et al.
Published: (2022-04-01)