ARCHITECTURE OF A RESNET BASED DEEP LEARNING MODEL FOR MULTI CLASS BRAIN TUMOUR CLASSIFICATION
Автор: AB TECHNOLOGIES
Загружено: 2026-01-02
Просмотров: 13
Описание: In this video, let’s learn about an Architecture of a ResNet-Based Deep Learning Model for Multi-Class Brain Tumour Classification. The input brain MRI images undergo preprocessing with resizing and normalization. A ResNet-based feature extraction module learns discriminative representations. Extracted features are passed to a DNN classifier for multi-class prediction. This integrated pipeline improves accuracy, robustness, and overall diagnostic performance for automated brain tumour classification in clinical decision support systems.
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