Skin cancer classification using AI-based techniques

We've created an AI tool using CNN and MobileNet to analyze skin images for initial dermatological diagnosis. The system categorizes diseases, offers descriptions, remedies, and severity assessments, suggesting dermatologists for appointments. Supporting English and Telugu languages, it aims to narrow the gap in dermatological care.

Authors

Chaitanya Raju (ORCID: https://orcid.org/0000-0001-7447-4389)
B Sreelatha
Shaik Akbar
R. Mallika
Kumar Prof.Dr.P.S.Jagadeesh
P. Vinay

Institutions

Institute of Engineering (NP)

Publication Details

Published: 2024-09-20
DOI: https://doi.org/10.1109/i3ceet61722.2024.10993634
Primary Topic: Cutaneous Melanoma Detection and Management
Type: article
Field-Weighted Citation Impact: 0.00

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article

Skin cancer classification using AI-based techniques

Chaitanya Raju, B Sreelatha, Shaik Akbar, R. Mallika et al.

Sep 20, 2024

Cutaneous Melanoma Detection and Management

article

Skin cancer classification using AI-based techniques

Chaitanya Raju, B Sreelatha, Shaik Akbar, R. Mallika, Kumar Prof.Dr.P.S.Jagadeesh, P. Vinay

September 20, 2024article en

Abstract

Institute of Engineering (NP)

Good health and well-being

Openalex Percentile: Top 57%

Cutaneous Melanoma Detection and Management

DOI Source OpenAlex

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Skin cancer classification using AI-based techniques — Chaitanya Raju, B Sreelatha, et al. · (2024) | TGRS Research Map | TGRS