Measuring morphological and biochemical features of tissue is crucial for disease diagnosis
and surgical guidance, providing clinically significant information related to pathophysiology …

With the continuous progress of development, deep learning has made good progress in the
analysis and recognition of images, which has also triggered some researchers to explore …

Visible-near-infrared spectroscopy data can be utilized as an important quantitative indicator
of biomolecular quantitative analysis. When acquiring spectral information, hyperspectral …

Coronavirus disease 2019 (COVID-19) is a transmitted respiratory disease caused by the
infection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although …

Advances in the study of neurological conditions have been possible because of pluripotent
stem cell technologies and organoids. Studies have described the generation of neural …

Significance: Measurement and imaging of hemoglobin oxygenation are used extensively in
the detection and diagnosis of disease; however, the applied instruments vary widely in their …

Amyloid beta (Aβ) deposits in the retina of the Alzheimer's disease (AD) eye may provide a
useful diagnostic biomarker for AD. This study focused on the relationship of Aβ with …

Alzheimer's disease (AD) is the most familiar type of dementia affecting elderly populations
worldwide. Studies of AD patients and AD transgenic mice have revealed alterations in the …

Background To evaluate a wide range of optical coherence tomography (OCT) parameters
for possible application as a screening tool for cognitively healthy individuals at risk of …

Hyperspectral anomaly detection (HAD) is a challenging task since samples are unavailable
for training. Although unsupervised learning methods have been developed, they often train …