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MOAB: Multi-Modal Outer Arithmetic Block For Fusion Of Histopathological Images And Genetic Data For Brain Tumor Grading
March 12, 2024, 4:47 a.m. | Omnia AlwazzanSchool of Electronic Engineering and Computer Science, Queen Mary University of London, UK, Queen Mary Digital Environment Research Inst
cs.CV updates on arXiv.org arxiv.org
Abstract: Brain tumors are an abnormal growth of cells in the brain. They can be classified into distinct grades based on their growth. Often grading is performed based on a histological image and is one of the most significant predictors of a patients prognosis, the higher the grade, the more aggressive the tumor. Correct diagnosis of a tumor grade remains challenging. Though histopathological grading has been shown to be prognostic, results are subject to interobserver variability, …
abstract arxiv block brain cells cs.ai cs.cv data fusion grades growth image images modal multi-modal tumors type
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