| 書(shū)目名稱(chēng) | Deep Learning Applications in Image Analysis | | 編輯 | Sanjiban Sekhar Roy,Ching-Hsien Hsu,Venkateshwara | | 視頻video | http://file.papertrans.cn/265/264566/264566.mp4 | | 概述 | Reviews exhaustively the key recent research into deep learning applications in image analysis.Covers many different deep learning applications in medical, satellite, forensic image analysis.Demonstra | | 叢書(shū)名稱(chēng) | Studies in Big Data | | 圖書(shū)封面 |  | | 描述 | This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and academia. This includes autoencoder and deep convolutional generative adversarial network in improving classification performance of Bangla handwritten characters, dealing with deep learning-based approaches using feature selection methods for automatic diagnosis of covid-19 disease from x-ray images, imbalance image data sets of classification, image captioning using deep transfer learning, developing a vehicle over speed detection system, creating an intelligent system for video-based proximity analysis, building a melanoma cancer detection system using deep learning, plant diseases classification using AlexNet, dealing with hyperspectral images using deep learning, chest x-ray image classification of pneumonia disease using efficient net and inceptionv3..The book also addresses the difficulty of implementing deep learning in terms of computation time and the complexity of reasoning and | | 出版日期 | Book 2023 | | 關(guān)鍵詞 | Deep Learning; Image Processing; Medical Image Processing; Satellite Image Classification; Convolutional | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-3784-4 | | isbn_softcover | 978-981-99-3786-8 | | isbn_ebook | 978-981-99-3784-4Series ISSN 2197-6503 Series E-ISSN 2197-6511 | | issn_series | 2197-6503 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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