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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.
This symposium is the first scientific event organized by the “Seminar for Epistemology” under the auspices of the University of Trieste. The aim of the symposium was to collect and open to discussion the contributions of a number of distinguished scientists from cognitive sciences and experimental nature sciences and to bring together specialists of various backgrounds.The very authoritative contributions presented at the Conference represent relevant, even if not exhaustive, specimens of the role of new conceptual tools in science.
This book offers new perspectives and paradigms in science, specifically to point out novel characteristics in natural processes. The issues are discussed by outstanding scientists from among the most advanced fields of science, who bring with them various points of the scientific horizon and widely different new experimental evidence.
The symposium is an attempt to offer perspectives and paradigms in science, which point out novel characters of natural processes. These issues are presented by outstanding scientists selected in the most advanced fields of science, from various points of the scientific horizon and with widely different new experimental evidence.