Latest AI and machine learning research in pathology for healthcare professionals.
No data are available on the learning curve in robotic distal pancreatectomy (RADP). The learning cu...
BACKGROUND: Idiopathic pulmonary fibrosis is a progressive fibrotic lung disease that distorts pulmo...
Continued advancement in pluripotent stem cell culture is closing the gap between bench and bedside ...
The flood of high-dimensional data resulting from mass cytometry experiments that measure more than ...
PURPOSE: For effective tumour margin definition for cancer surgery, there is an increasing demand fo...
The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 6...
BACKGROUND: Classification of breast ultrasound (BUS) images is an important step in the computer-ai...
Automatic classification of colon into normal and malignant classes is complex due to numerous facto...
The tissue inclusion parameter estimation method is proposed to measure the stiffness as well as geo...
The purpose of this study was to report the outcomes of a series of patients who underwent hand-assi...
Geometrical features of a cancerous tumor embedded in biological soft tissue, including tumor size a...
We consider pulse-coupled leaky integrate-and-fire neural networks with randomly distributed synapti...
Objectives. We sought to describe the prevalence of a hyaluronidase gene and hyaluronidase productio...
OBJECTIVE: Sentinel lymph node (SLN) biopsy has been proposed as a safe and less morbid approach to ...
The segmentation of infant brain tissue images into white matter (WM), gray matter (GM), and cerebro...
OBJECTIVES: The experience with robotic techniques (RATS) and video-assisted thoracic surgery (VATS)...
OBJECTIVES/HYPOTHESIS: To evaluate the safety and feasibility of the da Vinci Surgical System in tra...
Shape based active contours have emerged as a natural solution to overlap resolution. However, most ...
Rodent models are widely used to investigate neural changes in response to motor learning. Usually, ...
Recent reports of multivariate machine learning (ML) techniques have highlighted their potential use...
This study concerns a novel symbolic cognitive vision framework emerged from the Cognitive Microscop...