A Study on AI-Powered Dermatological Diagnosis: Advancing Deep Learning for Skin Cancer

One of the most common cancers in the world is still skin cancer, and better patient outcomes and efficient treatment depend on early detection. Dermatologists are essential in diagnosis, yet the accuracy of conventional techniques may be limited. In order to improve dermatology diagnostic accuracy, this study investigates the application of artificial intelligence (AI),

Authors

Publication Details

Journal
Samvakti Journal of Research in Information Technology
Published
2025-06-30
DOI
https://doi.org/10.46402/sjrit.2025.29
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study on AI-Powered Dermatological Diagnosis: Advancing Deep Learning for Skin Cancer

Heena Kouser Gogi Dr. Heena Kouser Gogi
Samvakti Journal of Research in Information Technology
Cutaneous Melanoma Detection and Management
article

A Study on AI-Powered Dermatological Diagnosis: Advancing Deep Learning for Skin Cancer

Heena Kouser Gogi Dr. Heena Kouser Gogi
article en

Abstract

One of the most common cancers in the world is still skin cancer, and better patient outcomes and efficient treatment depend on early detection. Dermatologists are essential in diagnosis, yet the accuracy of conventional techniques may be limited. In order to improve dermatology diagnostic accuracy, this study investigates the application of artificial intelligence (AI),

Samvakti Journal of Research in Information TechnologyVol. 6(1)
Openalex Percentile: Top 74%
Cutaneous Melanoma Detection and Management
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A Study on AI-Powered Dermatological Diagnosis: Advancing Deep Learning for Skin Cancer — Heena Kouser Gogi Dr. Heena Kouser Gogi · Samvakti Journal of Research in Information Technology (2025) | TGRS Research Map | TGRS