Latest AI and machine learning research in oncology/hematology for healthcare professionals.
The quantity of leukocytes in papillary thyroid carcinoma (PTC) potentially have prognostic and trea...
BACKGROUND AND PURPOSE: Malignant melanoma is an aggressive skin cancer in which brain metastases ar...
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade recognition is...
Pancreatic carcinoma in the body and on the left side of the mesentericoportal axis is often only de...
Natural language processing (NLP), which aims to convert human language into expressions that can be...
BACKGROUND: Accurate prognostication is crucial in treatment decisions made for men diagnosed with n...
An ever-increasing array of imaging technologies are being used in the study of complex biological s...
Computed tomography (CT) provides information for diagnosis, PET attenuation correction (AC), and ra...
One type of cancer usually consists of several subtypes with distinct clinical implications, thus th...
Detection of DNA copy number alteration in cancer cells is critical to understanding cancer initiati...
BACKGROUND CONTEXT: Accurately predicting the survival of patients with spinal metastases is importa...
Background The solid portion size of lung cancer lesions manifesting as subsolid lesions is key in t...
PURPOSE: Accurate clinical diagnosis of lymph node metastases is of paramount importance in the trea...
Pancreatic cancer is a malignant form of cancer with one of the worst prognoses. The poor prognosis ...
AIMS: This study aims to derive simple yet robust formula(s) for the calculation of cranial tumor vo...
PURPOSE: To generate diagnostic F-FDG PET images of pediatric cancer patients from ultra-low-dose F-...
PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint pr...
Image processing plays a major role in neurologists' clinical diagnosis in the medical field. Severa...
Cervical cancer is one of the most frequent cancers in women worldwide, yet the early detection and ...
INTRODUCTION: Deep Learning has been proposed as promising tool to classify malignant nodules. Our a...
PURPOSE: Despite the potential usefulness, no automatic detector is available for brain metastases o...