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

Language: English

Published by Springer, 2025

9819612845 / 9789819612840

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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. Sprache: Englisch Gewicht in Gramm: 466. …

Title
Deep Learning and Computer Vision: Models and Biomedical Applications Volume 1
Publisher
Springer
Publication year
2025
Condition
Neu
Binding
Gebundene Ausgabe
Language
English
ISBN 10
9819612845
ISBN 13
9789819612840
Item weight
466 grams

Home-set

Mannheim, Germany

5-star seller

AbeBooks seller since April 13, 2026

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Home-set

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