通知 发表于 2025-3-23 12:22:12
Hybrid Machine Intelligence for Medical Image Analysis978-981-13-8930-6Series ISSN 1860-949X Series E-ISSN 1860-9503ENDOW 发表于 2025-3-23 16:02:23
Hybrid Machine Intelligence for Medical Image Analysis发怨言 发表于 2025-3-23 18:11:19
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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 Eheschließungen erfordern auch eine Umorientierung im Bildungskanon. Kommu978-3-531-14029-2978-3-322-83380-8legacy 发表于 2025-3-24 03:21:36
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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万灵丹 发表于 2025-3-24 14:02:50
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.虚情假意 发表于 2025-3-24 17:16:40
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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