Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND AND PURPOSE: To explore whether a highly refined dose volume histograms (DVH) prediction ...
Over the last decade there has been an extensive evolution in the Artificial Intelligence (AI) field...
PURPOSE: The objective of this study was to investigate the risk of conversion associated with conve...
PURPOSE: To develop a deep learning model capable of producing clinically acceptable dose distributi...
OBJECTIVE: To construct a deep-learning convolution neural network (DL-CNN) system for the different...
Corona Virus Disease (COVID-19) has been announced as a pandemic and is spreading rapidly throughout...
Deep learning models based on medical images play an increasingly important role for cancer outcome ...
Drug response differs substantially in cancer patients due to inter- and intra-tumor heterogeneity. ...
 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...
The mitotic activity index is a key prognostic measure in tumour grading. Microscopy based detection...
Cancer is a complex disease that deregulates cellular functions at various molecular levels (e.g., D...
Minimally invasive surgery techniques have evolved remarkably over the past few decades in the field...
PURPOSE: To develop a two-stage three-dimensional (3D) convolutional neural networks (CNNs) for full...
PURPOSE: External beam radiotherapy (EBRT) treatment planning requires a fast and accurate method of...
BACKGROUND: The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular ca...
PURPOSE: Electromagnetic tracking (EMT) can partially replace X-ray guidance in minimally invasive p...