A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Cell segmentation is a crucial step in numerous biomedical imaging endeavors—so much so that the community is flooded with publicly available, state-of-the-art segmentation techniques ready for out-of ...

The dataset PanNuke-Mini-ImageMask-Dataset-With-Categorize-Masks.zip. used here has been taken from.

Abstract: Aiming at the situation of dermatoscopic images with fuzzy lesion boundaries, variable morphology and high similarity to background, this paper proposes a skin lesion segmentation algorithm ...

Magnetic resonance imaging (MRI) is a popular imaging modality in preclinical research because it delivers multiparametric information on tissues and organs in a noninvasive manner. The small ...

Objective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s ...