Deep Learning and Computer Vision: Models and Biomedical Applications : Volume 1 / 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.

Computer vision.

Biomedical engineering.

Computational Intelligence.

Artificial Intelligence.

Computer Vision.

Biomedical Devices and Instrumentation.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Computer Vision.

Biomedical Devices and Instrumentation.

Physical Description:

1 online resource (251 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:

Computer-Aided Diagnosis System for Liver Fibrosis Using Data Mining Techniques

Deep learning for sequence alignment

Protein Structure Prediction: A Computational Approach to Unravelling Molecular Mysteries

Management of cancer‑associated thrombosis and related complications

Integrating Machine Vision for Enhanced Biomedical Signal and Image Processing

Diagnostic strategies using AI and ML in cardiovascular diseases: Challenges and Future Perspectives

Analytics of medical data using Cognos

Analytics of Medical Data

Integrating Deep Learning into Electronic Health Records: Opportunities and Challenges

Heart disease prediction using machine learning algorithms and quantum variational classifier

Deep Learning Based Approaches for Early Detection of Parkinson’s Disease

Exploring Recent Developments in Radiographic Chest Disease Detection through Deep Learning Models

Nano encapsulation for the targeted drug delivery to enhance the efficacy of drugs

Early Detection of Brain Tumor Automation System using Hybrid SMOTE ENN And Deep Convolution Neural Network Technique

Advancements in Medical Device Integration Technology and its Impact on Healthcare

Image Classification To Detect Breast Cancer Using Transfer Learning

Medical Computer Vision

Machine Vision & Biomedical Signal and Image Processing

Metaheuristic Algorithms for Solving Various Optimization Problems: Comprehensive Review

Maximizing Renewable Energy: Harnessing the Power of Metaheuristic Optimization Techniques

Review on occurrence of skin lesions due to increased ultra-violet rays for diagnosis of skin cancer to sustain life using deep learning model

Early Detection of PCOD Automation System using Deep Convolution Neural Network Technique

Design of Nano Magnetorheological fluid damper - based Leg prosthesis for Amputees

Learning Analytics in Higher Education: Promises and Challenges

Neural Network Fusion for Forgery Detection in Digital Images.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819612857

9819612853

OCLC:

1507700114