Titlebook: Hybrid Machine Intelligence for Medical Image Analysis; Siddhartha Bhattacharyya,Debanjan Konar,Kalpana Sh Book 2020 Springer Nature Singa

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Hybrid Machine Intelligence for Medical Image Analysis978-981-13-8930-6Series ISSN 1860-949X Series E-ISSN 1860-9503

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Hybrid Machine Intelligence for Medical Image Analysis

發(fā)怨言

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S. N. Kumar,A. Lenin Fred,H. Ajay Kumar,P. Sebastin Varghese,Salga Ann Jacoberlagen anstelle von Erfolgserlebnissen. Die Risiken des modernen Lebens mit der Brüchigkeit von Berufslaufbahnen wie Eheschlie?ungen erfordern auch eine Umorientierung im Bildungskanon. Kommu978-3-531-14029-2978-3-322-83380-8

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Content-Based Medical Visual Information Retrieval,ikewise helps with instructing and research. This chapter briefly surveys the various techniques for retrieval of medical images and different methodologies adopted in various retrieval techniques are focused. For retrieval of medical images, a new feature descriptor based on Krawtchouk moment and h

萬(wàn)靈丹

Pixel ,-Grams Representation for Medical Image Classification,ch as co-occurrence matrix features, intensity histogram, and bag of visual words. The results demonstrate promising classification accuracy in addition to reduced computational costs, enabling a new way for mammographic classification on low resource computers.

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A New Hybrid Adaptive Cuckoo Search-Squirrel Search Algorithm for Brain MR Image Analysis,It is witnessed that the findings, using the proposed ACS-SS technique, are superior to the other techniques in terms of qualitative and quantitative measures. The advantages of the proposed technique are as follows: (i) The ACS-SS shows improved fitness function values; (ii) the ACS technique gives