Minimal sourced and lightweight federated transfer learning models for skin cancer detection

Abstract One of the most fatal diseases that affect people is skin cancer. Because nevus and melanoma lesions are so similar and there is a high likelihood of false negative diagnoses challenges in hospitals. The aim of this paper is to propose and develop a technique to classify type of skin cancer...

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Bibliographic Details
Main Authors:	Vikas Khullar, Prabhjot Kaur, Shubham Gargrish, Anand Muni Mishra, Prabhishek Singh, Manoj Diwakar, Anchit Bijalwan, Indrajeet Gupta
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-01-01
Series:	Scientific Reports
Subjects:	Skin cancer Federated learning Convolutional neural network Lesions Disease Transfer learning
Online Access:	https://doi.org/10.1038/s41598-024-82402-x
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Minimal sourced and lightweight federated transfer learning models for skin cancer detection

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