Work

Multi-Class Disease Detection and Wound Detection with CNN

Year: 2025

Type: article

Abstract: - This project focuses on the implementation of a deep Learning model capable of detecting skin diseases and Identifying wounds from images. By utilizing Convolutional Neural Networks (CNNs) and transfer learning, the system Classifies various skin conditions such as eczema, psoriasis, acne, and different types of wounds. The application aims to Provide preliminary diagnostics to aid dermatologists and Rural healthcare systems Key Words: Deep Learning, Convolutional Neural Networks (CNNs), Transfer Learning, Skin Disease Detection, Wound Identification, Image Classification, Eczema, Psoriasis, Acne, Wounds, Medical Imaging, Preliminary Diagnostics, Dermatology, Rural Healthcare

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem49586

Author: Kavyashree. L

Language: English

Topic: Cutaneous Melanoma Detection and Management

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4411080595

FWCI:

Cites: 5

Cited by:

Related to: 10