Hair And Scalp Disease Detection Using Deep Learning

    March 2024 in “ arXiv (Cornell University)
    Kavita Sultanpure, Bhairavi Shirsath, Bhakti Bhande, Harshada Sawai, Srushti Gawade, Suraj Samgir
    This paper presents a novel method for detecting hair and scalp diseases using deep learning, specifically Convolutional Neural Networks (CNNs), to analyze dermatological images. The system offers a non-invasive, efficient means of early diagnosis and is integrated into a web-based platform using the Django framework, enhancing accessibility. This approach aims to revolutionize dermatology by providing timely healthcare solutions and empowering both providers and patients, demonstrating the transformative potential of technology in healthcare.
    Discuss this study in the Community →

    Related Community Posts Join

    6 / 1000+ results

    Similar Research

    5 / 1000+ results