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Deep Learning and Computer Vision: Models and Biomedical Applications

By Dulhare, Uma N.

Deep Learning and Computer Vision: Models and Biomedical Applications Medicine

Deep Learning and Computer Vision: Models and Biomedical Applications

By Dulhare, Uma N.

0 - Default Title
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.
Product details
Number of Pages:
216
Release Date:
2025-06-17
Publication Date:
2025-06-17
Publisher:
Springer Nature Singapore
Languages:
Original: English
ISBN10:
9819636477
ISBN13:
9789819636471
GPSR Manufacturer Reference:
[email protected]
Weight:
492 g
Height:
160 cm
Width:
241 cm
Thickness:
18 cm
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