Medical image classification is an important step in the effective and accurate retrieval of medical images from large digital database where they are stored. This paper examines the effectiveness of ...

In real-world image classification, common challenges include handling diverse and noisy data, dealing with variations in lighting and occlusions, and ensuring robustness to adversarial examples.

This document is intended to clarify how Software as a Medical Device (SaMD) fits into Health Canada’s regulatory framework for medical devices, based on current interpretation of the definitions of ...

Summary In this study, we introduce BSDA-Mamba, a novel medical image classification approach that integrates Bayesian Random Semantic Data Augmentation (BSDA) with the MedMamba model, enhanced by ...

This paradigm has achieved strong performance on classifying natural images, even with limited labelled data. This thesis aims to explore the potential of SimCLR, a state-of-the-art self-supervised ...

AI-generated x-ray images fooled medical experts and improved osteoarthritis classification Date: November 17, 2022 Source: University of Jyväskylä - Jyväskylän yliopisto Summary: Sharing ...

Medical image classification is an important step in the effective and accurate retrieval of medical images from large digital database where they are stored. This paper examines the effectiveness of ...