High-precision brain tumor segmentation with switchable normalization in faster R-CNN architecture.
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| Title: | High-precision brain tumor segmentation with switchable normalization in faster R-CNN architecture. |
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| Authors: | Kumar DR; Department of Computer Science and Engineering, School of Engineering, Anurag University, Hyderabad, Telangana, India., Reddy PV; Department of CSE AI&ML, Keshav Memorial Engineering College, Hyderabad, Telangana, India., Mohammad H; Department of CSE (Data Science), Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India., Madhu G; Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Bowrampet, Hyderabad, Telangana, 500043, India., K SB; Department of CSE (Data Science), CMR Technical Campus, Hyderabad, Telangana, India., Narender M; Department of Computer Science and Engineering, TKR College of Engineering and Technology, Hyderabad, Telangana, India. machha.narender@gmail.com., Mahendar A; Department of CSE (Data Science), CMR Technical Campus, Hyderabad, Telangana, India. |
| Source: | Scientific reports [Sci Rep] 2026 May 14; Vol. 16 (1). Date of Electronic Publication: 2026 May 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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