Medical image classification methods based on traditional machine learning mainly include linear discriminant analysis, artificial neural networks, support vector machines, k -nearest neighbor …

Jun 17, 2024 · This review provides an overview of some techniques, challenges, and some developments in medical image classification, with a focus on deep learning approaches. It …

Mar 21, 2022 · First, we critically review existing literature in the CV domain that addresses complex vision tasks, including: medical image classification; shape and object recognition …

Computer vision is an incredibly valuable tool in ensuring hospital hygiene compliance. By allowing automated analysis of patient rooms and surfaces, computer vision can help detect …

Table 1 presents the registration results of randomly selected 3 moving images to the same fixed image in the test set by different algorithms. ... In critical clinical medical image analysis...

Medical Image Classification is a task in medical image analysis that involves classifying medical images, such as X-rays, MRI scans, and CT scans, into different categories based on the type …

Feb 26, 2025 · Integrating both classical and deep learning (DL) approaches in addressing brain MRI tissue segmentation, lung CT image registration, and skin lesion classification from …

Dec 1, 2024 · Computer Vision (CV) is one of the growing modern AI technologies. The distribution and administration of medications are about to change by using CV for medication …

Apr 26, 2023 · In this review, we provide consistent descriptions of different self-supervised learning strategies and compose a systematic review of papers published between 2012 and …

Computer vision, a subfield of artificial intelligence (AI), aims to enable machines to interpret and make decisions based on visual data. By leveraging algorithms for image recognition and …