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Showing 1240-1260 of 2,803 articles

The incidence of cardiovascular thrombotic complications after laparoscopic resection in colorectal cancer in Japanese hospitals: A large-scale clinical study.

AIM: The aim of this retrospective study was to investigate the incidence of cardiovascular thrombot...

Dec 2021 35634183

Artificial intelligence for the assessment of bowel preparation.

BACKGROUND AND AIMS: A reliable assessment of bowel preparation is important to ensure high-quality ...

Dec 2021 34896100

Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection.

BACKGROUND AND OBJECTIVE: Currently, the best performing methods in colonoscopy polyp detection are ...

Dec 2021 34915425

ALA-Net: Adaptive Lesion-Aware Attention Network for 3D Colorectal Tumor Segmentation.

Accurate and reliable segmentation of colorectal tumors and surrounding colorectal tissues on 3D mag...

Nov 2021 34197319

Deep neural network for video colonoscopy of ulcerative colitis: a cross-sectional study.

BACKGROUND: A combination of endoscopic and histological evaluation is important in the management o...

Nov 2021 34856196

A computer-aided drug design approach to discover tumour suppressor p53 protein activators for colorectal cancer therapy.

Colorectal cancer (CRC) is the third most detected cancer and the second foremost cause of cancer de...

Nov 2021 34861473

Utility of mass spectrometry and artificial intelligence for differentiating primary lung adenocarcinoma and colorectal metastatic pulmonary tumor.

BACKGROUND: Rapid intraoperative diagnosis for unconfirmed pulmonary tumor is extremely important fo...

Nov 2021 34812577

Cuprous oxide coated silver/graphitic carbon nitride/cadmium sulfide nanocomposite heterostructure: Specific recognition of carcinoembryonic antigen through sandwich-type mechanism.

The development of the effective diagnostic method for the determination of cancer biomarkers is one...

Nov 2021 35257935

Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning.

Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric c...

Nov 2021 34811485

Deep Learning-Based Diagnosis Method of Emergency Colorectal Pathology.

One of the most common malignant tumors of the digestive tract is emergency colorectal cancer. In re...

Nov 2021 34840696

Using Machine Learning Approaches to Predict Short-Term Risk of Cardiotoxicity Among Patients with Colorectal Cancer After Starting Fluoropyrimidine-Based Chemotherapy.

Cardiotoxicity is a severe side effect for colorectal cancer (CRC) patients undergoing fluoropyrimid...

Nov 2021 34792740

Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain.

Automatic pattern recognition using deep learning techniques has become increasingly important. Unfo...

Nov 2021 34795365

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging.

In current clinical practice, tumor response assessment is usually based on tumor size change on ser...

Nov 2021 34789774

A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinoma.

OBJECTIVE: To develop and validate a deep learning nomogram (DLN) model constructed from non-contras...

Nov 2021 34837794

Short-term outcomes in robot-assisted compared to laparoscopic colon cancer resections: a systematic review and meta-analysis.

BACKGROUND: Robot-assisted surgery is increasingly adopted in colorectal surgery. However, evidence ...

Nov 2021 34724576

Oncology/Hematology

Browse Categories

The incidence of cardiovascular thrombotic complications after laparoscopic resection in colorectal cancer in Japanese hospitals: A large-scale clinical study.

Artificial intelligence for the assessment of bowel preparation.

Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection.

ALA-Net: Adaptive Lesion-Aware Attention Network for 3D Colorectal Tumor Segmentation.

Deep neural network for video colonoscopy of ulcerative colitis: a cross-sectional study.

A computer-aided drug design approach to discover tumour suppressor p53 protein activators for colorectal cancer therapy.

Utility of mass spectrometry and artificial intelligence for differentiating primary lung adenocarcinoma and colorectal metastatic pulmonary tumor.

Cuprous oxide coated silver/graphitic carbon nitride/cadmium sulfide nanocomposite heterostructure: Specific recognition of carcinoembryonic antigen through sandwich-type mechanism.

Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning.

Deep Learning-Based Diagnosis Method of Emergency Colorectal Pathology.

Using Machine Learning Approaches to Predict Short-Term Risk of Cardiotoxicity Among Patients with Colorectal Cancer After Starting Fluoropyrimidine-Based Chemotherapy.

Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain.

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging.

A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinoma.

Machine learning random forest for predicting oncosomatic variant NGS analysis.

Deep learning predicts epidermal growth factor receptor mutation subtypes in lung adenocarcinoma.

Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images.

A novel Joint-Net model for recognizing small-bowel polyp images.

Detection of colorectal lesions during colonoscopy.

Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images.

Short-term outcomes in robot-assisted compared to laparoscopic colon cancer resections: a systematic review and meta-analysis.

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