Machine Learning and Vision Transformers for Thyroid Carcinoma Diagnosis: A review

arXiv:2403.13843v1 Announce Type: new
Abstract: The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable. In particular, the challenge of identifying thyroid cancer (TC) has seen progress with the use of machine learning (ML) and big data analysis, incorporating transformers to evaluate TC prognosis and determine the risk of malignancy in individuals. This review article presents a summary of various studies on AIbased approaches, especially those employing transformers, …

abstract arxiv big big data cancer challenge cs.ai cs.lg data diagnosis diagnostic diseases eess.iv experts machine machine learning medical process progress review smart systems transformers type vision vision transformers