Latest AI and machine learning research in other cancers for healthcare professionals.
 The aim of this study was to detect the most important risk factors for recurrence after microwave...
OBJECTIVES: To develop and evaluate a deep learning-based model capable of detecting primary hepatic...
OBJECTIVES: To evaluate whether a deep learning (DL) model using both three-dimensional (3D) black-b...
PURPOSE: To establish and validate a regional lymph node (LN) metastasis prediction model of colorec...
BACKGROUND AND PURPOSE: Differentiating glioblastoma from solitary brain metastasis preoperatively u...
OBJECTIVE: The utilization of hyperspectral imaging (HSI) in real-time tumor segmentation during a s...
BACKGROUND: The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular ca...
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...
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...
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...