Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Despite recent significant progress in the development of automatic sleep staging method...
OBJECTIVES: Deep learning has been proven to be able to stage liver fibrosis based on contrast-enhan...
Machine learning reveals pathways to neuroendocrine tumor (NET) diagnosis. Patients with NET and a...
Thyroid cancer (TC) is the most common endocrine malignancy. Most TCs have a favorable prognosis, wh...
BACKGROUND: COVID-19 is one of the greatest threats to human beings in terms of health care, economy...
Breast ultrasound examination is a routine, fast, and safe method for clinical diagnosis of breast t...
Background Accurate estimation of the malignancy risk of pulmonary nodules at chest CT is crucial fo...
Precise determination and assessment of bladder cancer (BC) extent of muscle invasion involvement gu...
Few studies have addressed radiomics based differentiation of Glioblastoma (GBM) and intracranial me...
In a time of rapid advances in science and technology, the opportunities for radiation oncology are ...
Prostate cancer (PCa), the second leading cause of cancer death in American men, is a relatively slo...
To develop an artificial intelligence (AI)-based method for the detection of focal skeleton/bone mar...
OBJECTIVES: To evaluate the performance of deep learning using ResNet50 in differentiation of benign...
PURPOSE: Esophageal cancer is a common malignant tumor in life, which seriously affects human health...
During the last decade, computer vision and machine learning have revolutionized the world in every ...
Lymph node metastasis (LNM) identification is the most clinically important tasks related to surviva...
The automated capability of generating spatial prediction for a variable of interest is desirable in...
BACKGROUND: The presence of nodal metastases is important in the treatment of papillary thyroid carc...
Automated cell classification in cancer biology is a challenging topic in computer vision and machin...
BACKGROUND: Although deep learning algorithms for clinical cytology have recently been developed, th...
As COVID-19 is highly infectious, many patients can simultaneously flood into hospitals for diagnosi...