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NeuroInsight: A Revolutionary Self-Adaptive Framework for Precise Brain Tumor Classification in Medical ImagingUsing Adaptive Deep Learning

2024-03-13

Abstract excerpt

<title>Abstract</title> <p>This study presents a robust framework for the classification of brain tumors, beginning with meticulous data curation from 233 patients. The dataset comprises a diverse range of T1-weighted contrast-enhanced images, encompassing meningioma, glioma, and pituitary tumor types. Rigorous organization, pre-processing, and augmentation techniques are applied to optimize model training. The p...

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Literature Corpus work
46674bfe-49d3-51b5-8bee-db1a33e47b43
DOI
10.21203/rs.3.rs-4026454/v1
Open publication

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NeuroInsight: A Revolutionary Self-Adaptive Framework for Precise Brain Tumor Classification in Medical ImagingUsing Adaptive Deep LearningDOI 10.21203/rs.3.rs-4026454/v1
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