Year: 2025
Type: article
Abstract: MalenoCare is an AI-powered healthcare solution designed to assist in the early detection and stage prediction of skin cancer using deep learning techniques. The system leverages convolutional neural networks (CNNs) to analyze dermoscopic images and accurately classify types of skin cancer. It offers a user-friendly interface for both patients and doctors, enabling remote diagnosis, medical report generation, and real-time chat communication. By integrating machine learning with accessible digital tools, MalenoCare aims to support timely intervention, reduce diagnostic delays, and contribute to improved patient outcomes, especially in underserved or remote areas. The project utilizes publicly available datasets such as HAM10000 and ISIC 2019 to train and validate the model, ensuring high accuracy and generalization. Advanced techniques like data augmentation, normalization, and transfer learning are applied to enhance performance. MalenoCare also features a medical history form, secure storage of patient data, and intelligent report generation. Its vision extends beyond diagnosis—aiming to spread awareness, promote preventive care, and align with global health goals by making skin cancer screening accessible and affordable to all
Author: More Nikhil Sharad
Institution: Savitribai Phule Pune University
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4411151563