In this digital age, security has become paramount, especially when protecting our data. Image annotation is used to classify objects within images, while cybersecurity is used to protect this ...

Slide microscopy imaging data acquired in biomedical research and clinical pathology practice are increasing in size, dimensionality, and complexity 1 and technological advances in machine learning ...

Advancements in artificial intelligence (AI) have paved the way for new solutions in healthcare, particularly in the early detection and diagnosis of complex conditions like diabetic retinopathy (DR).

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For ...

Artificial Intelligence (AI) and Machine Learning (ML) have become foundational technologies in the field of image processing. Traditionally, AI image recognition involved algorithmic techniques for ...

T cells are essential components of the immune system and play critical roles in immune responses against infections, tumors, and autoimmune diseases. T cells are highly heterogeneous, with distinct ...

White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...