Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general popula...
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...
Multiple myeloma (MM) remains mostly an incurable disease with a heterogeneous clinical evolution. D...
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 ...
In post-operative radiotherapy for prostate cancer, precisely contouring the clinical target volume ...
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...
Artificial intelligence developments are essential to the successful deployment of community-wide, M...
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...
INTRODUCTION: One of the most important steps in combating breast cancer is early and accurate diagn...
PURPOSE: Accurate deformable registration between computed tomography (CT) and cone-beam CT (CBCT) i...
The automated capability of generating spatial prediction for a variable of interest is desirable in...