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Titlebook: Despeckling Methods for Medical Ultrasound Images; Ju Zhang,Yun Cheng Book 2020 Springer Nature Singapore Pte Ltd. 2020 Despeckling Method

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發(fā)表于 2025-3-23 09:44:08 | 只看該作者
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發(fā)表于 2025-3-23 14:38:49 | 只看該作者
Carl C. Gaither,Alma E. Cavazos-GaitherThis chapter presents an overview of digital image processing, image denoising technology, the general motivations of despeckling, introduction of recent research work on denoising of medical ultrasonic images, basic principle of ultrasonic image, several kinds of diasonograph and the structure and organization of this book.
13#
發(fā)表于 2025-3-23 21:19:27 | 只看該作者
Introduction,This chapter presents an overview of digital image processing, image denoising technology, the general motivations of despeckling, introduction of recent research work on denoising of medical ultrasonic images, basic principle of ultrasonic image, several kinds of diasonograph and the structure and organization of this book.
14#
發(fā)表于 2025-3-23 22:28:12 | 只看該作者
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發(fā)表于 2025-3-24 04:40:01 | 只看該作者
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發(fā)表于 2025-3-24 12:54:46 | 只看該作者
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發(fā)表于 2025-3-24 17:14:54 | 只看該作者
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發(fā)表于 2025-3-24 19:21:35 | 只看該作者
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發(fā)表于 2025-3-24 23:45:28 | 只看該作者
Carl C. Gaither,Alma E. Cavazos-Gaitheronducted on both synthetic images and real clinical ultrasound images for authenticity. Compared with other existing methods, experimental results show that the proposed algorithm demonstrates an excellent de-noising performance, offers great flexibility and substantially sharpens the desirable edge.
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