المؤلفون: S. Dinesh Krishnan, Danilo Pelusi, A. Daniel, V. Suresh, Balamurugan Balusamy

المصدر: Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 17138-17157 (2023)

مصطلحات موضوعية: lung cancer segmentation, lung cancer classification, improved graph neural network, green anaconda optimization, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1551-0018

URL الوصول: https://doaj.org/article/12578be6477647ae9caac478711ad1dc

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المؤلفون: Krishnan SD; Assistant professor, B V Raju Institute of Technology, Narsapur, Telangana, India., Pelusi D; Department of Communication Sciences, University of Teramo, Italy., Daniel A; Associate Professor, Amity University, Gwalior, Madhya Pradesh, India., Suresh V; Assistant professor, Dr. N. G. P Institute of Technology, Coimbatore, India., Balusamy B; Associate Dean-Student Engagement, Shiv Nadar University, India.

المصدر: Mathematical biosciences and engineering : MBE [Math Biosci Eng] 2023 Sep 04; Vol. 20 (9), pp. 17138-17157.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: American Institute of Mathematical Sciences;; _b Beihang University Country of Publication: United States NLM ID: 101197794 Publication Model: Print Cited Medium: Internet ISSN: 1551-0018 (Electronic) Linking ISSN: 15471063 NLM ISO Abbreviation: Math Biosci Eng Subsets: MEDLINE

مواضيع طبية MeSH: Lung Neoplasms*/diagnostic imaging , Lung Neoplasms*/pathology , Boidae* , Arsenic*, Humans ; Animals ; Neural Networks, Computer ; Algorithms