Hair and scalp disease detection using deep learning

arXiv:2403.07940v1 Announce Type: cross
Abstract: In recent years, there has been a notable advancement in the integration of healthcare and technology, particularly evident in the field of medical image analysis. This paper introduces a pioneering approach in dermatology, presenting a robust method for the detection of hair and scalp diseases using state-of-the-art deep learning techniques. Our methodology relies on Convolutional Neural Networks (CNNs), well-known for their efficacy in image recognition, to meticulously analyze images for various dermatological conditions affecting the …

abstract advancement analysis art arxiv cs.cv cs.lg deep learning dermatology detection disease diseases eess.iv hair healthcare image integration medical paper presenting robust state technology type