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Deep Learning in Medical Imaging Analysis by sk47845825 is a document available to read on EtoBox.

What is Deep Learning in Medical Imaging Analysis about?

This document discusses the transformative role of deep learning in medical image analysis, highlighting its applications in various fields such as radiology, pathology, and cardiology. It addresses the advancements made through convolutional neural networks (CNNs) and generative adversarial networks (GANs), while also noting the challenges related to data requirements, model interpretability, and regulatory hurdles. The study emphasizes the importance of ethical considerations and future research direction

Author

sk47845825

Language

EN