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Colorectal Neoplasms

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Deep learning for the prediction of the chemotherapy response of metastatic colorectal cancer: comparing and combining H&E staining histopathology and infrared spectral histopathology.

The Analyst
Colorectal cancer is a global public health problem with one of the highest death rates. It is the second most deadly type of cancer and the third most frequently diagnosed in the world. The present study focused on metastatic colorectal cancer (mCRC...

Screening of the shared pathogenic genes of ulcerative colitis and colorectal cancer by integrated bioinformatics analysis.

Journal of cellular and molecular medicine
Ulcerative colitis (UC) is one of the high-risk pathogenic factors for colorectal cancer (CRC). However, the shared gene and signalling mechanisms between UC and CRC remain unclear. The goal of this study was to delve more into the probable causal re...

Feasibility of on-demand robotics in colorectal surgery: first cases.

Surgical endoscopy
INTRODUCTION: The key benefits of robotics are improved precision and control, thanks to fully articulated robotic instruments and enhanced, stable endoscope control. However, colorectal procedures also require large movements such as medialization o...

Fovea-UNet: detection and segmentation of lymph node metastases in colorectal cancer with deep learning.

Biomedical engineering online
BACKGROUND: Colorectal cancer is one of the most serious malignant tumors, and lymph node metastasis (LNM) from colorectal cancer is a major factor for patient management and prognosis. Accurate image detection of LNM is an important task to help cli...

Efficacy of robot-assisted vs. laparoscopy surgery in the treatment of colorectal cancer: A systematic review and meta-analysis.

Clinics and research in hepatology and gastroenterology
PURPOSE: To compare the efficacy of robot-assisted colorectal surgery (RACS) vs. laparoscopic-assisted colorectal surgery (LACS) in the treatment of colorectal cancer (CRC).

Implementation of a structured robotic colorectal curriculum for general surgery residents.

Journal of robotic surgery
There is increasing demand for colorectal robotic training for general surgery residents. We implemented a robotic colorectal surgery curriculum expecting that it would increase resident exposure to the robotic platform and would increase the number ...

Early Screening of Colorectal Precancerous Lesions Based on Combined Measurement of Multiple Serum Tumor Markers Using Artificial Neural Network Analysis.

Biosensors
Many patients with colorectal cancer (CRC) are diagnosed in the advanced stage, resulting in delayed treatment and reduced survival time. It is urgent to develop accurate early screening methods for CRC. The purpose of this study is to develop an art...

SnapEnsemFS: a snapshot ensembling-based deep feature selection model for colorectal cancer histological analysis.

Scientific reports
Colorectal cancer is the third most common type of cancer diagnosed annually, and the second leading cause of death due to cancer. Early diagnosis of this ailment is vital for preventing the tumours to spread and plan treatment to possibly eradicate ...

Machine learning for predicting survival of colorectal cancer patients.

Scientific reports
Colorectal cancer is one of the most incident types of cancer in the world, with almost 2 million new cases annually. In Brazil, the scenery is the same, around 41 thousand new cases were estimated in the last 3 years. This increase in cases further ...