Diagnosis of Scalp Disorders Using Machine Learning and Deep Learning Approach: A Review

August 2023 in “ arXiv (Cornell University) ”

Hrishabh Tiwari, Jatin Moolchandani, Shamla Mantri

alopecia dandruff psoriasis alopecia areata scalp disorders deep learning machine learning convolutional neural network fully convolutional network support vector machine k-nearest neighbors CNN FCN SVM KNN

Preprint — not peer reviewed. This was posted to a preprint server or data repository. It has not been through a journal's review process, and its findings may change or not hold up.

Studysummary This study reports that deep learning models, particularly CNN and FCN, achieved high accuracy in diagnosing scalp and skin disorders, suggesting potential for improved diagnostic systems with further advancements.

Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer

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