ePoster · Deep Learning
Brain Tumour Classification using EfficientnetB1 from Magnetic Resonance Imaging Data
Bhavya Ratan Maroo · Neuromatch 5
Wed, Sep 28, 2022
Introduction: Early diagnosis and classification of brain tumours are crucial to enable decisive early treatment and improve patient outcomes. Misdiagnosed brain malignancies can result in incorrect medical interventions, reducing patient survival. Computer-aided diagnostic systems incorporated with artificial intelligence techniques can be used as a robust clinical decision support system to improve brain tumour diagnosis. Aim: We aim to develop an artificial intelligence algorithm to classify MRI images into different brain tumours. Methodology: We used 7022 T1-weighted MRI scans compri