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Titlebook: Dental Image Analysis for Disease Diagnosis; Kavindra R. Jain,N. C. Chauhan Book 2019 Springer Nature Switzerland AG 2019 Active Contour M

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發(fā)表于 2025-3-21 17:49:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Dental Image Analysis for Disease Diagnosis
編輯Kavindra R. Jain,N. C. Chauhan
視頻videohttp://file.papertrans.cn/266/265656/265656.mp4
概述Presents a review of dentistry and associated dental problems from an engineering perspective.Discusses enhancement methods using basic image processing techniques.Emphasizes a wide variety of dental
圖書(shū)封面Titlebook: Dental Image Analysis for Disease Diagnosis;  Kavindra R. Jain,N. C. Chauhan Book 2019 Springer Nature Switzerland AG 2019 Active Contour M
描述This book provides an overview of computational approaches to medical image examination and analysis in oral radiology, utilizing dental radiograph to detect and diagnose dental caries in cases of decayed teeth. Coverage includes basic image processing techniques; approaches for Region of Interest extraction and analysis; and the role of computational clustering techniques for segmentation of teeth and dental caries. The book also presents a novel multiphase level set method for automatic segmentation of dental radiographs.
出版日期Book 2019
關(guān)鍵詞Active Contour Modelling; Computer-Aided Diagnosis; Dental Caries; Dental Image Analysis; Dental Imaging
版次1
doihttps://doi.org/10.1007/978-3-030-14136-3
isbn_ebook978-3-030-14136-3
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Ermanno Eleuteri,Diego Ardissinouch situations, the level set deformable models also referred as geometric deformable model which provide an elegant solution to address the primary limitation of parametric deformable model. It includes no parameterisation of the contour, topological flexibility and good numerical stability. The re
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Drug Evaluation in Angina Pectorismentation is not the prime requirement for diagnosing the problem in radiograph; rather, the accuracy, precision, recall, error rate, specificity and, most importantly, reduction in computational speed of segmentation, as well as decrease in amount of manual interaction are major parameters to be co
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