Latest AI and machine learning research in other cancers for healthcare professionals.
FDG PET/CT imaging is commonly used in diagnosis and follow-up of metastatic breast cancer, but its ...
Cardiac biomechanical modelling is a promising new tool to be used in prognostic medicine and therap...
A novel palpation-based tumor detection method for robot-assisted minimally invasive surgery (RMIS) ...
To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to ...
The structural design parameters of a medical microrobot, such as the morphology and surface chemist...
Anticipating unplanned hospital readmission episodes is a safety and medico-economic issue. We compa...
Colorectal cancer (CRC) ranked third among most commonly diagnosed cancers worldwide. The onset of s...
Automatic multi-classification of breast cancer histopathological images has remained one of the top...
BACKGROUND: With the improvement in diagnostic imaging, perioperative care and surgical technique, t...
Breast cancer is the second leading cause of death in the world. Breast cancer research is focused t...
This study evaluates the performance of convolutional neural networks (CNNs) in risk stratifying the...
We developed a fully automated method for brain tumor segmentation using deep learning; 285 brain tu...
Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applicati...
Robots are increasingly used in minimally invasive surgery. We evaluated the clinical benefits of ro...
BACKGROUND: Three-dimensional T1 magnetization prepared rapid acquisition gradient echo (3D-T1-MPRAG...
Radiomics and deep learning have recently gained attention in the imaging assessment of various live...
BACKGROUND: PATHFx is a clinical decision-support tool based on machine learning capable of estimati...
A 71-year-old man with gross hematuria and urinary retention showed a 7×8 cm polycystic mass compres...
Small-animal imaging is an essential tool that provides noninvasive, longitudinal insight into novel...
PURPOSE: For patients with early-stage breast cancer, predicting the risk of metastatic relapse is o...
OBJECTIVE: Diagnosis of breast cancer is based on identification of various morphologic features by ...