Latest AI and machine learning research in lymphoma for healthcare professionals.
PURPOSE: Gastric cancer is an important health burden characterized by high prevalence and mortality...
BACKGROUND: Monitoring blood pressure and peripheral capillary oxygen saturation plays a crucial rol...
BACKGROUND: Colorectal cancer is one of the most serious malignant tumors, and lymph node metastasis...
Clinical prognostic scoring systems have limited utility for predicting treatment outcomes in lympho...
BACKGROUND: For patients with early-stage breast cancers, neoadjuvant treatment is recommended for n...
Major retinopathies can differentially impact the arteries and veins. Traditional fundus photography...
Robots in manufacturing alleviate hazardous environmental conditions, reduce the physical/mental str...
BACKGROUND: Neoadjuvant immunochemotherapy has been increasingly applied to treat non-small cell lun...
PURPOSE: Due to the rarity of primary gastrointestinal lymphoma (PGIL), the prognostic factors and o...
Artificial Intelligence and Machine learning have been widely used in various fields of mathematical...
Analysis of volatile organic compounds (VOCs) can be an effective strategy to inspect the quality of...
OBJECTIVES: To develop a deep learning (DL) method that can determine the Liver Imaging Reporting an...
BACKGROUND: The complex nature of obesity increasingly requires a comprehensive approach that includ...
We present compact and effective deep convolutional neural networks (CNNs) by exploring properties o...
Handcrafted and deep learning (DL) radiomics are popular techniques used to develop computed tomogra...
Cardiovascular diseases account for 17 million deaths per year worldwide. Of these, 25% are categori...
Current hardware limitations make it impossible to train convolutional neural networks on gigapixel ...
In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model illustra...
Stochastic momentum methods are widely used to solve stochastic optimization problems in machine lea...
PURPOSE: Patient-induced inhomogeneities in the static magnetic field cause distortions and blurring...
The measurement of physiologic pressure helps diagnose and prevent associated health complications. ...