Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Diffusion-weighted (DW) imaging is a well-recognized magnetic resonance imaging (MRI) te...
BACKGROUND: Computed tomography is the most commonly used imaging modality for preoperative assessme...
BACKGROUND: The treatment strategies for colorectal cancer (CRC) must ensure a radical cure of cance...
BACKGROUND In this study we aimed to establish a new transfer learning model based on noncontrast an...
Skin cancer is a deadly disease, and its early diagnosis enhances the chances of survival. Deep lear...
(1) Background: angiogenesis plays an important role in the growth and metastasis of tumors. We esta...
The diversifying modalities of treatment for gastric cancer raise urgent demands for the rapid and ...
Cancer of the mesothelium, sometimes referred to as malignant mesothelioma (MM), is an extremely unc...
A brain tumor is the growth of abnormal cells in certain brain tissues with a high mortality rate; t...
BACKGROUND: Cancer development in adolescents and young adults (AYAs) has elicited recent interest. ...
BACKGROUND: Melanomas are skin malignant tumors that arise from melanocytes which are primarily trea...
BACKGROUND: Extended pelvic nodal dissection (ePLND) represents the gold standard for nodal staging ...
PURPOSE: The existing medical imaging tools have a detection accuracy of 97% for peritoneal metastas...
PURPOSE: Brain metastases (BM) occur frequently in patients with metastatic cancer. Early and accura...
BACKGROUND: The segmentation of 3D cell nuclei is essential in many tasks, such as targeted molecula...
PURPOSE: To assess the clinical effectiveness of temporal subtraction computed tomography (TS CT) us...
Liver cancer is a life-threatening illness and one of the fastest-growing cancer types in the world....
OBJECTIVE: The integration of an artificial intelligence tool into pathologists' workflow may lead t...
BACKGROUND: Artificial intelligence has far surpassed previous related technologies in image recogni...
Brain tumors are one of the most dangerous diseases that affect human health and maybe result in dea...
In most deep learning-based brain tumor segmentation methods, training the deep network requires ann...