Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
Deep learning technology has developed rapidly in recent years and has been successfully applied in ...
The tubule index is a vital prognostic measure in breast cancer tumor grading and is visually evalua...
Understanding prognosis and mortality is critical for evaluating the treatment plan of patients. Adv...
Anomalous driving behavior detection is becoming more popular since it is vital in ensuring the safe...
Ion channels, which can be modulated by peptides, are promising drug targets for neurological, metab...
Lymphovascular invasion, specifically lymph-blood vessel invasion (LBVI), is a risk factor for metas...
Pathology analysis is crucial to precise cancer diagnoses and the succeeding treatment plan as well....
Anterior segment optical coherence tomography (AS-OCT) is a fundamental ophthalmic imaging technique...
We recently developed a robotic human vaping mimetic real-time particle analyzer (HUMITIPAA) to eval...
Person detection has attracted great attention in the computer vision area and is an imperative elem...
The world health organization recommended to incorporate gene information such as isocitrate dehydro...
Medical image segmentation is fundamental and essential for the analysis of medical images. Although...
In satellite remote sensing applications, waterbody segmentation plays an essential role in mapping ...
The adoption of digital pathology has enabled the curation of large repositories of gigapixel whole-...
Identifying an individual based on their physical/behavioral characteristics is known as biometric r...
The quality of synthesized images directly affects the practical application of virtual view synthes...
Recently, the transformer model has progressed from the field of visual classification to target tra...
Inflammatory bowel disease (IBD) is a chronic immune-mediated disease of the gastrointestinal tract....
Acyl-CoA synthetase long-chain family member 4 (ACSL4) has been linked to the occurrence of tumors a...
Applying machine learning technology to automatic image analysis and auxiliary diagnosis of whole sl...
Tumor segmentation is a fundamental task in histopathological image analysis. Creating accurate pixe...