Latest AI and machine learning research in colon cancer for healthcare professionals.
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information an...
BACKGROUND: Pancreatic adenocarcinoma (PAAD), known for its high lethality, has not been thoroughly ...
The performance of existing lesion semantic segmentation models has shown a steady improvement with ...
OBJECTIVE: To evaluate the feasibility of developing a computer vision algorithm that uses preoperat...
Optimizers are the bottleneck of the training process of any Convolutionolution neural networks (CNN...
Untargeted metabolomic analysis using mass spectrometry provides comprehensive metabolic profiling, ...
The second most common type of malignant tumor worldwide is colorectal cancer. Histopathology image ...
This study aimed to establish and validate the efficacy of a nomogram model, synthesized through the...
BACKGROUND: Increased polyp detection during colonoscopy is associated with decreased post-colonosco...
To evaluate the usefulness of low-keV multiphasic computed tomography (CT) with deep learning image ...
Pre-training deep learning models with large data sets of natural images, such as ImageNet, has beco...
Osteosarcoma (OS) is the most common primary malignant tumour of the bone with high mortality. Here,...
BACKGROUND: Early detection and treatment of colorectal cancer (CRC) is crucial for improving patien...
Tumorigenesis and treatment are closely associated with various programmed cell death (PCD) patterns...
BACKGROUND: Construct deep learning models for colonoscopy quality control using different architect...
PURPOSE: Commonly employed in polyp segmentation, single-image UNet architectures lack the temporal ...
Colorectal cancer (CRC) is a frequent, worldwide tumor described for its huge complexity, including ...
Lesions of early cancers often show flat, small, and isochromatic characteristics in medical endosco...
Early and accurate detection of colorectal cancer (CRC) is critical for improving patient outcomes. ...
The aim of this study is to establish a deep learning (DL) model to predict the pathological type of...
OBJECTIVES: The roles of magnetic resonance imaging (MRI) -based radiomics approach and deep learnin...