The histological assessment of human tissue has emerged as the key challenge for detection
and treatment of cancer. A plethora of different data sources ranging from tissue microarray …

The development of decision support systems for pathology and their deployment in clinical
practice have been hindered by the need for large manually annotated datasets. To …

The purpose of this research was to implement a deep learning network to overcome two of
the major bottlenecks in improved image reconstruction for clinical positron emission …

Purpose: Existing summary statistics based upon optical coherence tomographic (OCT)
scans and/or visual fields (VFs) are suboptimal for distinguishing between healthy and …

Prostate cancer (PrCa) is the second most common cancer among men in the United States.
The gold standard for detecting PrCa is the examination of prostate needle core biopsies. …

In this paper, we present a core technology to enable robot recognition of human activities
during human-robot interactions. In particular, we propose a methodology for early …

Artificial intelligence (AI)‐based systems applied to histopathology whole‐slide images have
the potential to improve patient care through mitigation of challenges posed by diagnostic …

Identifying and avoiding terrain hazards (eg, soft soil and pointy embedded rocks) are
crucial for the safety of planetary rovers. This paper presents a newly developed ground-based …

A quantitative model to genetically interpret the histology in whole microscopy slide images
is desirable to guide downstream immuno-histochemistry, genomics, and precision medicine…

Computerized evaluation of histological preparations of prostate tissues involves identification
of tissue components such as stroma (ST), benign/normal epithelium (BN) and prostate …