Deep Learning and Computer Vision: Models and Biomedical Applications : Volume 2 (Algorithms for Intelligent Systems)

Dulhare, Uma N. (EDT)/ Houssein, Essam Halim (EDT)

Springer Nature Switzerland AG（2025/05発売）

• 製本 Hardcover:ハードカバー版／ページ数 210 p.
• 言語 ENG
• 商品コード 9789819636471

Full Description

This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision.  Deep learning is integrated with computer vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates deep learning models such as convolution neural networks, deep learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.

Contents

Sequence Alignment Using Deep Learning.- Maximizing Renewable Energy: Harnessing the Power of Metaheuristic Optimization Techniques.-  Medical Computer Vision.- Detection of oral Cavity using Convolution Neural Networks for Density.- Verification and Analysis of Covid-19 Diagnostic Process using the concept of Process Mining.- Design of Nano Magnetorheological fluid damper - based Leg prosthesis for Amputees.-  Nano encapsulation for the targeted drug delivery to enhance the efficacy of drugs.- Transcriptomics: Mapping the RNA Landscape.