Pruning has emerged as a powerful technique for compressing deep neural networks,
reducing memory usage and inference time without significantly affecting overall …

With the advent of digital pathology and microscopic systems that can scan and save whole
slide histological images automatically, there is a growing trend to use computerized …

Even in the era of precision medicine, with various molecular tests based on omics
technologies available to improve the diagnosis process, microscopic analysis of images …

Recent years have seen significant efforts to adopt Artificial Intelligence (AI) in healthcare for
various use cases, from computer-aided diagnosis to ICU triage. However, the size of AI …

Computer-assisted treatment has emerged as a viable application of medical imaging,
owing to the efficacy of deep learning models. Real-time inference speed remains a key …

Brain tumor disease in children is deadly due to unrecognition at early stage. Hence, a
accurate, and less affluent method to detect pediatric brain tumor is necessary. In this paper …