Deep Learning and Computer Vision: Models and Biomedical Applications : Volume 2 / edited by Uma N. Dulhare, Essam Halim Houssein.

Format:

Book

Author/Creator:

Dulhare, Uma N.

Contributor:

Houssein, Essam Halim.

Series:

Algorithms for Intelligent Systems, 2524-7573

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Image processing--Digital techniques.

Image processing.

Computer vision.

Biomedical engineering.

Computational Intelligence.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Biomedical Devices and Instrumentation.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Biomedical Devices and Instrumentation.

Physical Description:

1 online resource (245 pages)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9636-48-5

OCLC:

1524420496