FEDERATED AND TRANSFER LEARNING METHODS FOR THE CLASSIFICATION OF MELANOMA AND NONMELANOMA SKIN CANCERS: A PROSPECTIVE STUDY

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study

Skin cancer is considered a dangerous type of cancer with a high global mortality rate.Manual skin cancer diagnosis is a challenging and time-consuming method due to the complexity of the disease.Recently, deep learning and transfer learning have been the most effective methods for diagnosing this deadly cancer.To aid dermatologists and other healt

read more



Just-in-time faculty development: a mobile application helps clinical teachers verify and describe clinical reasoning difficulties

Abstract Background Although clinical teachers can often identify struggling learners readily and reliably, they can be reluctant to act upon their impressions, resulting in failure to fail.In the absence of a Socks clear process for identifying and remediating struggling learners, clinical teachers can be put off by the prospect of navigating the

read more