Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
A large-scale and well-annotated dataset is a key factor for the success of deep learning in medical...
Adiposity accumulation in the liver is an early-stage indicator of non-alcoholic fatty liver disease...
Visual representation extraction is a fundamental problem in the field of computational histopatholo...
INTRODUCTION: Smoking and insufficient physical activity (PA), independently but especially in conju...
Histopathology is the gold standard method for staging and grading human tumors and provides critica...
In this paper, an autonomous brain tumor segmentation and detection model is developed utilizing a c...
The integrated use of remote sensing technology and machine learning models to evaluate cultivated l...
The most popular test for pneumonia, a serious health threat to children, is chest X-ray imaging. Ho...
The pathological identification of lymph node (LN) metastasis is demanding and tedious. Although con...
Resin composites are widely used as dental restorative materials since dental parts are subjected to...
PURPOSE: Computer-assisted techniques play an important role in craniomaxillofacial surgery. As segm...
Crowded event entrances could threaten the comfort and safety of pedestrians, especially when some p...
Tissue-level semantic segmentation is a vital step in computational pathology. Fully-supervised mode...
OBJECTIVES: Fetal sex determination with ultrasound (US) examination is indicated in pregnancies at ...
To increase power and minimize bias in statistical analyses, quantitative outcomes are often adjuste...
Development of automated analysis tools for "single ion channel" recording is hampered by the lack o...
Quantitative ultrasound (QUS) aims to reveal information about the tissue microstructure using backs...
Research using whole slide images (WSIs) of histopathology slides has increased exponentially over r...
To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we...
Substance use disorder (SUD) is a heterogeneous disorder. Adapting machine learning algorithms to a...
Siamese networks have been extensively studied in recent years. Most of the previous research focuse...