Integrative Approach To Skin Disease Identification: Analyzing Melanoma And Non-melanoma Patterns

One deadly kind of cancer is melanoma. A recent study by the Indian Council of Medical Studies (ICMR) found that non-melanoma skin cancer instances are more common in the Northeast, particularly in Nagaland, whereas melanoma situations are more common in Northern India. Due to a US Cancer Council estimate, skin melanoma is expected to be a factor of about 7650 unintentional fatalities in 2022. The age range that is most likely to be affected by melanoma worldwide is those who are 70 years of age and older. Dermatofibroma, melanomas, melanocytic nevi, benign keratosis-like lesions, actinic keratoses, the basal cell carcinoma, and vascular lesions can be recognized by the proposed method. We provide two methods for addressing a distinct issue: cross-domain detection of skin diseases. The network was improved using two datasets related to skin disorders.

Authors

Institutions

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icaccm61117.2024.11059007
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrative Approach To Skin Disease Identification: Analyzing Melanoma And Non-melanoma Patterns

E Keerthana, G M Sasikala, V Joshikha
Cutaneous Melanoma Detection and Management
article

Integrative Approach To Skin Disease Identification: Analyzing Melanoma And Non-melanoma Patterns

E Keerthana, G M Sasikala, V Joshikha
article en

Abstract

One deadly kind of cancer is melanoma. A recent study by the Indian Council of Medical Studies (ICMR) found that non-melanoma skin cancer instances are more common in the Northeast, particularly in Nagaland, whereas melanoma situations are more common in Northern India. Due to a US Cancer Council estimate, skin melanoma is expected to be a factor of about 7650 unintentional fatalities in 2022. The age range that is most likely to be affected by melanoma worldwide is those who are 70 years of age and older. Dermatofibroma, melanomas, melanocytic nevi, benign keratosis-like lesions, actinic keratoses, the basal cell carcinoma, and vascular lesions can be recognized by the proposed method. We provide two methods for addressing a distinct issue: cross-domain detection of skin diseases. The network was improved using two datasets related to skin disorders.

Rajalakshmi Engineering College
Zero hunger
Openalex Percentile: Top 57%
Cutaneous Melanoma Detection and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.