Latest AI and machine learning research in other cancers for healthcare professionals.
Purpose To compare the diagnostic performance of radiomic analysis (RA) and a convolutional neural n...
PURPOSE: To propose a computer-assisted method for distinguishing uterine sarcoma from leiomyomas ba...
PURPOSE: The management of malignant brain metastases becomes a main issue for the treatment of pati...
Accurate clinical target volume (CTV) delineation is essential to ensure proper tumor coverage in ra...
The size and shape of a nodule are the essential indicators of malignancy in lung cancer diagnosis. ...
Many variables have been linked to different course trajectories of depression. These findings, howe...
Meningioma is the one of the most common type of brain tumor, it as arises from the meninges and enc...
Although modern methods of whole genome DNA methylation analysis have a wide range of applications, ...
Here we describe the case of a 10-year-old boy with a history of chronic hepatitis B who was diagnos...
BACKGROUND: Preclinical and retrospective data suggest that cytoreductive radical prostatectomy may ...
Correctly identifying sleep stages is important in diagnosing and treating sleep disorders. This pap...
BACKGROUND: Distinguishing between meningeal-based and intra-axial lesions by means of magnetic reso...
The accurate identification of malignant lung nodules on chest CT is critical for the early detectio...
Systematic measurement of conversational features in the natural clinical setting is essential to b...
Prostate cancer (PC) is more common cancer in older men. Then, the existing evaluation method of PC ...
Intra-arterial therapies are the standard of care for patients with hepatocellular carcinoma who can...
OBJECTIVE: Accurate detection and segmentation of organs at risks (OARs) in CT image is the key step...
CONTEXT.—: Nodal metastasis of a primary tumor influences therapy decisions for a variety of cancers...
In this study, we developed two cancer-specific machine learning classifiers for prediction of drive...
BACKGROUND AND AIMS: Clinical data suggest that the quality of optical diagnoses of colorectal polyp...
Purpose To develop and validate a deep learning-based automatic detection algorithm (DLAD) for malig...