Improving Algorithm for the Alignment of Consecutive, Whole-Slide, Immunohistochemical Section Images.

Background: Accurate and precise alignment of histopathology tissue sections is a key step for the interpretation of the proteome topology and cell level three-dimensional (3D) reconstruction of diseased tissues. However, the realization of an automated and robust method for aligning nonglobally stained immunohistochemical (IHC) sections is still challenging. In this study, we aim to assess the feasibility of multidimensional graph-based image registration on aligning serial-section and whole-slide IHC section images.

A computer-aided diagnosis system for differentiation and delineation of malignant regions on whole-slide prostate histopathology image using spatial statistics and multidimensional DenseNet.

Purpose: Prostate cancer (PCa) is a major health concern in aging males, and proper management of the disease depends on accurately interpreting pathology specimens. However, reading prostatectomy histopathology slides, which is basically for staging, is usually time consuming and differs from reading small biopsy specimens, which is mainly used for diagnosis. Generally, each prostatectomy specimen generates tens of large tissue sections and for each section, the malignant region needs to be delineated to assess the amount of tumor and its burden.

Automatic Contrast Enhancement of Brain MR Images Using Hierarchical Correlation Histogram Analysis.

Parkinson's disease is a progressive neurodegenerative disorder that has a higher probability of occurrence in middle-aged and older adults than in the young. With the use of a computer-aided diagnosis (CAD) system, abnormal cell regions can be identified, and this identification can help medical personnel to evaluate the chance of disease. This study proposes a hierarchical correlation histogram analysis based on the grayscale distribution degree of pixel intensity by constructing a correlation histogram, that can improves the adaptive contrast enhancement for specific objects.

[Improving the provision of nesting and positioning for premature infants by nurses in neonatal intensive care units].

Background & Problems: Nesting and positioning is a common nursing skill used in the developmental care of premature infants. This skill maintains premature infants in a comfortable position, facilitates the monitoring of stable vital signs, and enables spontaneous motor activity for normal neuromuscular and skeletal joint function.

Purpose: This project was designed to improve nursing staff cognition and skills regarding nesting and positioning for premature infants in the NICU.