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This book emphasizes the design of wavelet filter-banks as efficient and effective feature descriptors for medical image retrieval.
May 18, 2024 · In this paper, we propose an approach to medical image retrieval using DenseNet for feature extraction and use FAISS for similarity search.
Firstly, a generalized novel design of a family of multiplier-free orthogonal wavelet filter-banks is presented. In this, the dyadic filter coefficients are ...
Firstly, a generalized novel design of a family of multiplier-free orthogonal wavelet filter-banks is presented. In this, the dyadic filter coefficients are ...
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書籍詳細內容 · ISBN-10. 3031572785 · ISBN-13. 978-3031572784 · 版本. 第2024 · 出版者. Springer · 出版日期. 2024年5月16日 · 語言. English · 尺寸. 15.6 x 1.12 x 23.39 cm.
Feature Extraction in Medical Image Retrieval: A New Design of Wavelet Filter Banks
Book by Amol D. Rahulkar and Aswini Kumar Samantaray
Zusammenfassung: Medical imaging is fundamental to modern healthcare, and its widespread use has resulted in creation of image databases. These repositories contain images from a diverse range of modalities, multidimensional as well as co-aligned... Google Books
Originally published: 2024
Authors: Amol D. Rahulkar and Aswini Kumar Samantaray
This book emphasizes the design of wavelet filter-banks as efficient and effective feature descriptors for medical image retrieval. Firstly, a generalized novel ...
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Buy the book Feature Extraction in Medical Image Retrieval: A New Design of Wavelet Filter Banks by aswini kumar samantaray,amol d rahulkar at Indigo.
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Jun 3, 2024 · This study presents a novel feature descriptor based on the design of adaptive Gabor wavelet filter‐bank for medical image retrieval. The design ...
This study presents a novel feature descriptor based on the design of adaptive Gabor wavelet filter-bank for medical image retrieval. The design of proposed ...
May 6, 2019 · This paper presents a new class of local neighborhood based wavelet feature descriptor (LNWFD) for content based medical image retrieval ...