深度卷积神经网络医学应用开发入门指南

English | 2025 | ISBN: 1032589272 | 199 pages | True EPUB | 58.09 MB

This book serves as a source of introductory material and reference for medical application development and related technologies by providing the detailed implementation of cutting-edge deep learning methodologies. It targets cloud-based advanced medical application developments using open-source Python-based deep learning libraries. It includes code snippets and sophisticated convolutional neural networks to tackle real-world problems in medical image analysis and beyond. Features: • Provides programming guidance for creation of sophisticated and reliable neural networks for image processing. • Incorporates the comparative study on GAN, stable diffusion, and its application on medical image data augmentation. • Focuses on solving real-world medical imaging problems. • Discusses advanced concepts of deep learning along with the latest technology such as GPT, stable diffusion, and ViT. • Develops applicable knowledge of deep learning using Python programming, followed by code snippets and OOP concepts. This book is aimed at graduate students and researchers in medical data analytics, medical image analysis, signal processing, and deep learning.

English | 2025 | ISBN:1032589272| 199页| True EPUB | 58.09 MB本书通过提供尖端深度学习方法的详细实现，为医疗应用开发和相关技术提供了介绍性材料和参考。它的目标是使用基于Python的开源深度学习库进行基于云的高级医疗应用程序开发。它包括代码片段和复杂的卷积神经网络，以解决医学图像分析等领域的现实问题。特点：•为创建用于图像处理的复杂可靠的神经网络提供编程指导。•结合GAN、稳定扩散及其在医学图像数据增强中的应用的比较研究专注于解决现实世界的医学成像问题讨论深度学习的高级概念以及GPT、稳定扩散和ViT等最新技术使用Python编程开发深度学习的应用知识，然后是代码片段和OOP概念。本书面向医学数据分析、医学图像分析、信号处理和深度学习领域的研究生和研究人员。

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