Self-supervised pretraining attempts to enhance model performance by obtaining effective features from unlabeled data, and has demonstrated its effectiveness in the field of histopathology images.

Automatic cell/nucleus detection is a prerequisite for various quantitative analyses on microscopy image. However, previous deep learning methods require enough annotated microscopy images for better ...

New-onset panic attacks after deep brain stimulation of the nucleus accumbens in a patient with refractory obsessive-compulsive and bipolar disorders: a case report ...

Dislocation of the lens nucleus into the vitreous cavity is one of the most severe complications in cataract surgery.1 ,2 Incidence of nucleus drop into the vitreous cavity for phacoemulsification ...

Objective Although not typical of Parkinson’s disease (PD), caudate dopaminergic dysfunction can occur in early stages of the disease. However, its frequency and longitudinal implications in large ...

Nucleus pulposus (NP) tissue engineering has been demonstrated to be a feasible therapeutic strategy for intervertebral disc regeneration. In this study, we constructed a novel injectable biomaterial ...

The biocompatibility, specificity, and binding efficiency are especially critical for efficient organelle-targeting bioimaging. Gold nanoparticles (AuNPs) fabricated with bifunctional peptides ...