Deep transfer learning based feature fusion model with Bonobo optimization algorithm for enhanced brain tumor segmentation and classification through biomedical imaging

The brain tumour (BT) is an aggressive disease among others, which leads to a very short life expectancy. Therefore, early and prompt treatment is the main stage in enhancing patients’ quality of life. Biomedical imaging permits the non-invasive evaluation of diseases, depending upon visual assessme...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 34030 - 22
Hauptverfasser:	Gurunathan, Pradeep, Srinivasan, Preethi Saroj, S, Ravimaran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 30.09.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	631/67 692/699 Accuracy Algorithms Artificial intelligence Biomedical imaging Bonobo optimization algorithm Brain cancer Brain Neoplasms - classification Brain Neoplasms - diagnostic imaging Brain tumor segmentation Brain tumors Classification Computed tomography Deep Learning Diagnosis Efficiency Feature model fusion Humanities and Social Sciences Humans Identification Image Pre-processing Image Processing, Computer-Assisted - methods Life expectancy Life span Magnetic resonance imaging Magnetic Resonance Imaging - methods multidisciplinary Neuroimaging Noninvasive evaluation Optimization techniques Quality of life Science Science (multidisciplinary) Segmentation Tomography, X-Ray Computed - methods Transfer learning Wavelet transforms Brain tumor segmentation Feature model fusion Image Pre-processing Bonobo optimization algorithm Biomedical imaging
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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