Colon Cancer

Automated histological classification for digital pathology images of colonoscopy specimen via deep learning.

Colonoscopy is an effective tool to detect colorectal lesions and needs the support of pathological ...

Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.

BACKGROUND: When endoscopically resected specimens of early colorectal cancer (CRC) show high-risk f...

Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma.

Background A preoperative CT-based deep learning (DL) prediction model was proposed to estimate dise...

Consensus-led recommendations defining practical principles of achieving optimal surgical outcomes in robotic colorectal surgery in the Asia-Pacific region.

Recent innovations within the field of robotic surgery have particular relevance to colorectal surge...

Frame-by-Frame Analysis of a Commercially Available Artificial Intelligence Polyp Detection System in Full-Length Colonoscopies.

INTRODUCTION: Computer-aided detection (CADe) helps increase colonoscopic polyp detection. However, ...

Use of deep learning to predict postoperative recurrence of lung adenocarcinoma from preoperative CT.

PURPOSE: Although surgery is the primary treatment for lung cancer, some patients experience recurre...

HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening.

Histopathology is the gold standard method for staging and grading human tumors and provides critica...

Predictors of operative difficulty in robotic low anterior resection for rectal cancer.

AIM: This study evaluates the relationship of tumour and anatomical features with operative difficul...

Warning from artificial intelligence against inaccurate polyp size estimation.

A new deep learning technique reveals the exclusive functional contributions of individual cancer mutations.

Cancers are caused by genomic alterations that may be inherited, induced by environmental carcinogen...

Unsupervised learning methods for efficient geographic clustering and identification of disease disparities with applications to county-level colorectal cancer incidence in California.

Many public health policymaking questions involve data subsets representing application-specific att...

Clinical actionability of triaging DNA mismatch repair deficient colorectal cancer from biopsy samples using deep learning.

BACKGROUND: We aimed to develop a deep learning (DL) model to predict DNA mismatch repair (MMR) stat...

A deep learning based CT image analytics protocol to identify lung adenocarcinoma category and high-risk tumor area.

We present a protocol which implements deep learning-based identification of the lung adenocarcinoma...

PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation.

In a colonoscopy, accurate computer-aided polyp detection and segmentation can help endoscopists to ...

Application Effect of Robot-Assisted Laparoscopy in Hepatectomy for Colorectal Cancer Patients with Liver Metastases.

OBJECTIVE: Application effect of Leonardo's robot-assisted laparoscopy in hepatectomy for colorectal...

Development of a Fully Automated Method to Obtain Reproducible Lymphocyte Counts in Patients With Colorectal Cancer.

Colorectal cancer (CRC) is the third most common cancer worldwide. Although clinical outcome varies ...

Artificial intelligence implementation in pancreaticobiliary endoscopy.

INTRODUCTION: Artificial intelligence has been rapidly deployed in gastroenterology and endoscopy. T...

Robotic and laparoscopic surgical procedures for colorectal cancer.

The study aims to investigate perioperative indices and immediate outcomes of laparoscopic and robot...

ZhenQi FuZheng formula inhibits the growth of colorectal tumors by modulating intestinal microflora-mediated immune function.

Zhenqi Fuzheng formula (ZQFZ), of which the main ingredients are and , has immune system regulatory...

Deep learning features encode interpretable morphologies within histological images.

Convolutional neural networks (CNNs) are revolutionizing digital pathology by enabling machine learn...

The current status of robotic colorectal surgery training programmes.

Robotic-assisted colorectal surgery (RACS) is steadily increasing in popularity with an annual growt...