Colon Cancer

Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study.

Deep learning (DL) can predict microsatellite instability (MSI) from routine histopathology slides o...

CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study.

BACKGROUND: Stratification of DNA mismatch repair (MMR) status in patients with colorectal cancer (C...

Overall mortality risk analysis for rectal cancer using deep learning-based fuzzy systems.

Colorectal cancer is a leading cause of cancer mortality worldwide, with an increasing incidence rat...

Robot-assisted general surgery is safe during the learning curve: a 5-year Australian experience.

Robot-assisted general surgery has become increasingly common in the Australian public sector since ...

Elective robotic partial colon and rectal resections: series of 170 consecutive robot procedures involving the Da Vinci Xi robot by a community general surgeon.

Robotic colorectal procedures may overcome the disadvantages of laparoscopic surgery. While the lite...

EG-TransUNet: a transformer-based U-Net with enhanced and guided models for biomedical image segmentation.

Although various methods based on convolutional neural networks have improved the performance of bio...

Radiomics approach with deep learning for predicting T4 obstructive colorectal cancer using CT image.

OBJECTIVES: Patients with T4 obstructive colorectal cancer (OCC) have a high mortality rate. Therefo...

Artificial intelligence in colorectal surgery: an AI-powered systematic review.

Artificial intelligence (AI) has the potential to revolutionize surgery in the coming years. Still, ...

Artificial intelligence based personalized predictive survival among colorectal cancer patients.

BACKGROUND AND OBJECTIVE: Colorectal cancer is a major health concern. It is now the third most comm...

Evaluation of the advantages of robotic versus laparoscopic surgery in elderly patients with colorectal cancer.

BACKGROUND: The incidence of colorectal cancer increases with aging. Curative-intent surgery based o...

EBHI: A new Enteroscope Biopsy Histopathological H&E Image Dataset for image classification evaluation.

BACKGROUND AND PURPOSE: Colorectal cancer has become the third most common cancer worldwide, account...

Deep learning-extracted CT imaging phenotypes predict response to total resection in colorectal cancer.

BACKGROUND: Deep learning surpasses many traditional methods for many vision tasks, allowing the tra...

Machine learning-based colorectal cancer prediction using global dietary data.

BACKGROUND: Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Active he...

Deep learning approach to detection of colonoscopic information from unstructured reports.

BACKGROUND: Colorectal cancer is a leading cause of cancer deaths. Several screening tests, such as ...

Identification of Key MicroRNAs and Genes between Colorectal Adenoma and Colorectal Cancer via Deep Learning on GEO Databases and Bioinformatics.

BACKGROUND: Deep learning techniques are gaining momentum in medical research. Colorectal adenoma (C...

Artificial intelligence-assisted treatment strategy for T1 colorectal cancer after endoscopic resection.

Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model.

Screening of lymph node metastases in colorectal cancer (CRC) can be a cumbersome task, but it is am...

Intrathoracic Robotic-Sewn Anastomosis During Ivor Lewis Esophagectomy for Cancer: Back to Basics?

BACKGROUND: To assess the feasibility, clinical utility, and safety of intrathoracic robotic-sewn es...

Annotation-Free Deep Learning-Based Prediction of Thyroid Molecular Cancer Biomarker BRAF (V600E) from Cytological Slides.

Thyroid cancer is the most common endocrine cancer. Papillary thyroid cancer (PTC) is the most preva...

Intraprocedure Artificial Intelligence Alert System for Colonoscopy Examination.

Colonoscopy is a valuable tool for preventing and reducing the incidence and mortality of colorectal...

Machine Learning Models for Predicting the Outcomes of Surgical Treatment of Colorectal Liver Metastases.

BACKGROUND: Surgical intervention remains the cornerstone of a multidisciplinary approach in the tre...