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CerebroNet: A systematically derived explainable brain tumor classifier for resource-constrained MRI diagnostics

2026-03-26

Abstract excerpt

<title>Abstract</title> <p>While Artificial Intelligence (AI) has demonstrated potential in assisting MRI-based brain tumor diagnosis, its real-world utility appears to be limited by high computational demands and demographic biases inherent in Western-centric datasets. This study proposes a systematic optimization framework to develop a resource-efficient, explainable classifier tailored to an underrepresented S...

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Literature Corpus work
7fa73ef8-07cc-5438-a7ea-d2a5a05cb77d
DOI
10.21203/rs.3.rs-8315329/v1
Open publication

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CerebroNet: A systematically derived explainable brain tumor classifier for resource-constrained MRI diagnosticsDOI 10.21203/rs.3.rs-8315329/v1
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