After three decades of developments, single particle tracking (SPT) has become a powerful
tool to interrogate dynamics in a range of materials including live cells and novel catalytic …

The computer-based process of identifying the boundaries of lung from surrounding thoracic
tissue on computed tomographic (CT) images, which is called segmentation, is a vital first …

Importance Although deep learning (DL) can identify the intermediate or advanced stages of
age-related macular degeneration (AMD) as a binary yes or no, stratified gradings using the …

DNA–protein crosslinks (DPCs) are toxic DNA lesions wherein a protein is covalently
attached to DNA. If not rapidly repaired, DPCs create obstacles that disturb DNA replication …

Surface-based brain imaging analysis offers the advantages of preserving the topology of
cortical activation, increasing statistical power of group-level statistics, estimating cortical …

Motivation: Bioinformatics is faced with a variety of problems that require human
involvement. Tasks like genome annotation, image analysis, knowledge-base population …

Purpose To assess whether the integration between (a) functional imaging features that will
be extracted from diffusion‐weighted imaging (DWI); and (b) shape and texture imaging …

In this current digital landscape, artificial intelligence (AI) has established itself as a powerful
tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge …

Increasingly, highly multiplexed tissue imaging methods are used to profile protein
expression at the single‐cell level. However, a critical limitation is the lack of robust cell …

Gleason grading of histological images is important in risk assessment and treatment
planning for prostate cancer patients. Much research has been done in classifying small …