HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification. (arXiv:2201.12269v1 [cs.CV])

Brain Tumors are abnormal mass of clustered cells penetrating regions of
brain. Their timely identification and classification help doctors to provide
appropriate treatment. However, Classifi-cation of Brain Tumors is quite
intricate because of high-intra class similarity and low-inter class
variability. Due to morphological similarity amongst various MRI-Slices of
different classes the challenge deepens more. This all leads to hampering
generalizability of classification models. To this end, this paper proposes
HSADML, a novel framework which enables deep metric learning (DML) using …

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