An efficient hardware architecture based on an ensemble of deep learning models for COVID -19 prediction.

Deep learning models demonstrate superior performance in image classification problems. COVID-19 image classification is developed using single deep learning models. In this paper, an efficient hardware architecture based on an ensemble deep learning model is built to identify the COVID-19 using chest X-ray (CXR) records.

A Review on Deep Learning Architecture and Methods for MRI Brain Tumour Segmentation.

Background: The automatic segmentation of brain tumour from MRI medical images is mainly covered in this review. Recently, state-of-the-art performance is provided by deep learning- based approaches in the field of image classification, segmentation, object detection, and tracking tasks.

Introduction: The core feature deep learning approach is the hierarchical representation of features from images, thus avoiding domain-specific handcrafted features.