Titlebook: Data-Driven Clinical Decision-Making Using Deep Learning in Imaging; M. F. Mridha,Nilanjan Dey Book 2024 The Editor(s) (if applicable) and

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,A Precise Cervical Cancer Classification in?the Early Stage Using Transfer Learning-Based Ensemble eatment, a principle applicable to all cancer variants. Although the Pap smear test stands as the benchmark for this type of cancer diagnosis, the accuracy of this diagnosis depends on the skill and attentiveness of the healthcare provider. Considerable efforts have been directed toward leveraging a

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Privacy-Preserving Vision-Based Detection of Pox Diseases Using Federated Learning,tection is vital for effective disease management and prevention. Traditional diagnostic methods often rely on invasive procedures and may lack privacy safeguards. In response, this research leverages advanced image analysis and federated learning to introduce a privacy-preserving framework for pox

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,Unveiling the?Unique Dermatological Signatures of?Human Pox Diseases Through Deep Transfer Learningies, potentially leading to misdiagnosis and delayed treatment. Currently, doctors look at samples by hand or rely on confirmation tests that are not always easy to obtain, such as polymerase chain reaction (PCR) tests, which take a long time. A few studies have focused on individual disease classif

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