Latest AI and machine learning research in lymphoma for healthcare professionals.
In patients with suspected lymphoma, the tissue biopsy provides lymphoma confirmation, classificatio...
Research investigating the nature and scope of developmental participation patterns leading to inter...
BACKGROUND: Completion axillary lymph node dissection is overtreatment for patients with sentinel ly...
MOTIVATION: Calculating the magnitude of treatment effects or of differences between two groups is a...
Non-invasive assessment of the risk of lymph node metastasis (LNM) in patients with papillary thyroi...
PURPOSE: Deep learning has shown great efficacy for semantic segmentation. However, there are diffic...
Vision loss caused by diabetic macular edema (DME) can be prevented by early detection and laser pho...
While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objecti...
Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact du...
PURPOSE: Cardiac MR cine imaging allows accurate and reproducible assessment of cardiac function. Ho...
Evaluation of the antigenic similarity degree between the strains of the influenza virus is highly i...
This paper describes the design and testing of a gripper developed for handling of delicate and flex...
Non-experts have long made important contributions to machine learning (ML) by contributing training...
BACKGROUND AND AIMS: Colonoscopy is commonly performed for colorectal cancer screening in the United...
Highly accelerated real-time cine MRI using compressed sensing (CS) is a promising approach to achie...
BACKGROUND: The oral microbiome is a complex assembly of microbial species, whose constituents can t...
Microrobots offer transformative solutions for non-invasive medical interventions due to their small...
OBJECTIVES: To develop a deep learning-based algorithm to detect aortic dissection (AD) and evaluate...
A non-coding RNA (ncRNA) is a kind of RNA that is not converted into protein, however, it is involve...
PURPOSE: Deep learning-based whole-heart segmentation in coronary computed tomography angiography (C...
BACKGROUND: This study prospectively assessed the diagnostic capacity of dynamic carbon-11 methionin...