Latest AI and machine learning research in pathology for healthcare professionals.
Transmitted light microscopy can readily visualize the morphology of living cells. Here, we introduc...
Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the...
BACKGROUND: Computer-aided diagnosis (CAD) systems are being applied to the ultrasonographic diagnos...
Despite profound knowledge of the incidence of oral cancers and a large body of research beyond it, ...
In the current clinical care practice, Gleason grading system is one of the most powerful prognostic...
The purpose of this study was to assess image quality and radiation dose of a novel twin robotic x-...
The rise of data science is leading to new paradigms in data-driven materials discovery. This carrie...
Although convolutional neural networks have achieved tremendous success on histopathology image clas...
Quantifying cell-type proportions and their corresponding gene expression profiles in tissue samples...
: The newborn brain MRI (magnetic resonance imaging) tissue segmentation plays a vital part in asses...
PURPOSE: Lung cancer is the commonest cause of cancer deaths worldwide, and its mortality can be red...
PURPOSE: Distinguishing benign nevi from malignant melanoma using current histopathological criteria...
Allplex Bacterial vaginosis assay (Seegene, South Korea) is a molecular test for bacterial vaginosis...
The amount of data collected and managed in (bio)medicine is ever-increasing. Thus, there is a need ...
PURPOSE: Diagnosis of lung cancer requires radiologists to review every lung nodule in CT images. Su...
PURPOSE: Flexible needle insertion is an important minimally invasive surgery approach for biopsy an...
Mechanical circulatory support with implantable durable continuous-flow left ventricular assist devi...
BACKGROUND: The pathologic diagnosis and Gleason grading of prostate cancer are time-consuming, erro...
A 74-year-old man presented with rapid rising prostate-specific antigen (PSA) 2 years after treatmen...
PURPOSE: Deep learning is emerging in radiology due to the increased computational capabilities avai...
PURPOSE: Human peripheral blood leukocytes' classification is important for diagnosing blood disease...