Deep learning (DL) has been employed for a wide range of tasks in dentistry. We aimed to
systematically review studies employing DL for periodontal and implantological purposes. A …

The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

While deep learning models have become the predominant method for medical image
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …

Deep learning has revolutionized the detection of diseases and is hel** the healthcare
sector break barriers in terms of accuracy and robustness to achieve efficient and robust …

Human Skin cancer is commonly detected visually through clinical screening followed by a
dermoscopic examination. However, automated skin lesion classification remains …

Medical data are present in large amount and this is difficult to process for the diagnosis and
Healthcare organization requires effective technique to handle big data. Existing techniques …

Foundation models, often pre-trained with large-scale data, have achieved paramount
success in jump-starting various vision and language applications. Recent advances further …

Medical datasets often have a skewed class distribution and a lack of high-quality annotated
images. However, deep learning methods require a large amount of labeled data for …

Deep learning-based methods have recently demonstrated outstanding performance on
general image classification tasks. As optimization of these methods is dependent on a large …

Considering the efficiency and security of healthcare data processing, indiscriminate data
collection, annotation, and transmission are unwise. In this article, we propose the …