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Deep Learning Applications in Image Analysis PDF

218 Pages·2024·English
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by ['Raghavendran']| 2024| 218 pages| English

About Deep Learning Applications in Image Analysis

This document provides information about a book titled "Deep Learning Applications in Image Analysis". It is edited by Sanjiban Sekhar Roy, Ching-Hsien Hsu, and Venkateshwara Kagita. The book contains 12 chapters that apply various deep learning techniques to solve image-related problems in domains such as medical imaging, plant disease classification, hyperspectral image analysis, and cancer detection. It is intended to inform academic researchers about the state-of-the-art in applying deep learning to image analysis problems. The editors hope readers will benefit from learning about these applications of deep learning.

Detailed Information

Author:['Raghavendran']
Publication Year:2024
Pages:218
Language:English
Format:PDF
Price:FREE
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