Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Compared with the traditional analysis of computed tomography scans, automatic liver tumor segmentat...
BACKGROUND: Expanding the tumor, lymph node, metastasis (TNM) staging system by accommodating new pr...
BACKGROUND AND OBJECTIVE: Colon cancer is a fatal disease, and a comprehensive understanding of the ...
OBJECTIVES: This study aimed to establish a machine learning prediction model that can be used to pr...
N-staging is a determining factor for prognostic assessment and decision-making for stage-based canc...
BACKGROUND: Differential diagnosis of primary central nervous system lymphoma (PCNSL) and glioblasto...
INTRODUCTION: Liver transplantation (LT) is an effective treatment for hepatocellular carcinoma (HCC...
BACKGROUND: Contemporary deep learning approaches show cutting-edge performance in a variety of comp...
One of the main requirements of tumor extraction is the annotation and segmentation of tumor boundar...
PURPOSE: To develop convolutional neural network (CNN) models for differentiating intrahepatic chola...
With its increasing incidence, cancer has become one of the main causes of worldwide mortality. In t...
BACKGROUND: Probe electrospray ionization-mass spectrometry (PESI-MS) can rapidly visualize mass spe...
CT is widely used for diagnosis, staging and management of cancer. The presence of metastasis has si...
OBJECTIVE: To investigate whether dose reductions in cisplatin due to renal dysfunction were associa...
Background Missing MRI sequences represent an obstacle in the development and use of deep learning (...
Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissu...
This work addresses the fabrication of an efficient, novel, and economically viable immunosensing ar...
Recurrent angina (RA) after percutaneous coronary intervention (PCI) has few known risk factors, ham...
Neoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME) represents the stan...
BACKGROUND: It is very important to accurately delineate the CTV on the patient's three-dimensional ...
Tissue micro-morphological abnormalities and interrelated quantitative data can provide immediate ev...