Abstract: Lung diseases are prevalent in today’s world, exhibiting a wide range of disease variations that requires early diagnosis for preventing disease evolvement, diminishing long-term ...
Purpose This scoping review aimed to map and synthesize evidence on technological advancements using Artificial Intelligence in the diagnosis and management of dysphagia. We followed the PRISMA ...
Introduction This is an implementation of the model used for breast cancer classification as described in our paper Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.
Abstract: This study explores the collision of suspension droplets against solid dry surfaces (substrates). It applies and compares multiple machine learning (ML) models for the classification of ...
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