AIMC Topic: Colonic Neoplasms

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Deep learning image analysis quantifies tumor heterogeneity and identifies microsatellite instability in colon cancer.

Journal of surgical oncology Oct 17, 2022
BACKGROUND AND OBJECTIVES: Deep learning utilizing convolutional neural networks (CNNs) applied to hematoxylin & eosin (H&E)-stained slides numerically encodes histomorphological tumor features. Tumor heterogeneity is an emerging biomarker in colon c...
Humans Microsatellite Instability Colonic Neoplasms Microsatellite Repeats Colorectal Neoplasms Deep Learning
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Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database.

Journal of digital imaging Sep 20, 2022
Machine learning has been recently used especially in the medical field. In the diagnosis of serious diseases such as cancer, deep learning techniques can be used to reduce the workload of experts and to produce quick solutions. The nuclei found in t...
Cell Nucleus Algorithms Colonic Neoplasms Neural Networks, Computer Humans Machine Learning
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Predictive modelling for high-risk stage II colon cancer using auto-artificial intelligence.

Techniques in coloproctology Aug 28, 2022
BACKGROUND: Recently, stratification of high-risk stage II colon cancer (CC) and the need for adjuvant chemotherapy have been the focus of attention. The aim of this retrospective study was to define high-risk factors for recurrent stage II CC using ...
Retrospective Studies Neoplasm Staging Artificial Intelligence Prognosis Chemotherapy, Adjuvant Neoplasm Recurrence, Local Colonic Neoplasms Humans
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Robot-assisted versus laparoscopic short- and long-term outcomes in complete mesocolic excision for right-sided colonic cancer: a systematic review and meta-analysis.

Techniques in coloproctology Aug 24, 2022
BACKGROUND: Complete mesocolic excision (CME) surgery is increasingly implemented for the resection of right-sided colonic cancer, possibly resulting in improved 5-year overall and disease-free survival compared to non-CME surgery. However, it is not...
Humans Treatment Outcome Colectomy Mesocolon Laparoscopy Lymph Node Excision Colonic Neoplasms Robotics
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Automated Detection and Characterization of Colon Cancer with Deep Convolutional Neural Networks.

Journal of healthcare engineering Aug 24, 2022
Colon cancer is a momentous reason for illness and death in people. The conclusive diagnosis of colon cancer is made through histological examination. Convolutional neural networks are being used to analyze colon cancer via digital image processing w...
Colonic Neoplasms Artificial Intelligence Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Combination of CDX2 H-score quantitative analysis with CD3 AI-guided analysis identifies patients with a good prognosis only in stage III colon cancer.

European journal of cancer (Oxford, England : 1990) Jul 1, 2022
AIM: Stratification of colon cancer (CC) of patients with stage II and III for risk of relapse is still needed especially to drive adjuvant therapy administration. Our study evaluates the prognostic performance of two known biomarkers, CDX2 and CD3, ...
Neoplasm Recurrence, Local Colonic Neoplasms CDX2 Transcription Factor CD3 Complex Biomarkers, Tumor Neoplasm Staging Artificial Intelligence Prognosis Humans
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Robotic right colectomy with robotic-sewn anastomosis: a pilot case series.

Journal of robotic surgery Jun 26, 2022
The background of this study is to assess the feasibility, clinical utility and safety of intra-corporeal robotic-sewn anastomosis (ICrA) in completely robotic right hemicolectomy (CRH) for adenocarcinoma. A protocol for completely robotic right hemi...
Treatment Outcome Anastomosis, Surgical Robotics Colectomy Robotic Surgical Procedures Prospective Studies Laparoscopy Humans Colonic Neoplasms Retrospective Studies
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Prediction Performance of Deep Learning for Colon Cancer Survival Prediction on SEER Data.

BioMed research international Jun 16, 2022
Colon and rectal cancers are the most common kinds of cancer globally. Colon cancer is more prevalent in men than in women. Early detection increases the likelihood of survival, and treatment significantly increases the likelihood of eradicating the ...
United States Colonic Neoplasms Deep Learning ROC Curve Humans SEER Program Prognosis Female Male
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Deep learning features encode interpretable morphologies within histological images.

Scientific reports Jun 8, 2022
Convolutional neural networks (CNNs) are revolutionizing digital pathology by enabling machine learning-based classification of a variety of phenotypes from hematoxylin and eosin (H&E) whole slide images (WSIs), but the interpretation of CNNs remains...
Machine Learning Deep Learning Colonic Neoplasms Humans Adenocarcinoma Neural Networks, Computer
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Hyperspectral Image Analysis of Colon Tissue and Deep Learning for Characterization of Health care.

Journal of environmental and public health May 31, 2022
Colon cancer is a disease characterized by the unusual and uncontrolled development of cells that are found in the large intestine. If the tumour extends to the lower part of the colon (rectum), the cancer may be colorectal. Medical imaging is the de...
Hyperspectral Imaging Delivery of Health Care Deep Learning Humans Colonic Neoplasms
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