AIMC Topic: Colonic Neoplasms

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Histopathological diagnosis of colon cancer using micro-FTIR hyperspectral imaging and deep learning.

Computer methods and programs in biomedicine Feb 2, 2023
BACKGROUND AND OBJECTIVE: Current studies based on digital biopsy images have achieved satisfactory results in detecting colon cancer despite their limited visual spectral range. Such methods may be less accurate when applied to samples taken from th...
Humans Neural Networks, Computer Colonic Neoplasms Deep Learning Spectroscopy, Fourier Transform Infrared Hyperspectral Imaging
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Robotic operative strategy in locally advanced colon cancer-anatomical precision and the importance of fascial planes - A video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Dec 28, 2022
Colectomy Humans Robotic Surgical Procedures Robotics Colonic Neoplasms
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Colon Cancer Diagnosis Based on Machine Learning and Deep Learning: Modalities and Analysis Techniques.

Sensors (Basel, Switzerland) Nov 28, 2022
The treatment and diagnosis of colon cancer are considered to be social and economic challenges due to the high mortality rates. Every year, around the world, almost half a million people contract cancer, including colon cancer. Determining the grade...
Deep Learning Colonic Neoplasms Machine Learning Colorectal Neoplasms Humans
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A Single-Institution Comparison of Robot-Assisted and Conventional Laparoscopic Colorectal Surgeries.

The American surgeon Nov 23, 2022
There has been ongoing discussion regarding the superiority of robotic laparoscopic surgery (RLS) over conventional laparoscopic surgery (CLS) in many surgical subspecialties. We therefore sought to elucidate if RLS is associated with more favorable ...
Robotic Surgical Procedures Colonic Neoplasms Robotics Laparoscopy Humans Retrospective Studies Postoperative Complications Treatment Outcome Colectomy Diverticulitis
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Full robotic total colectomy with a suprapubic approach: technical points.

Techniques in coloproctology Nov 11, 2022
Humans Retrospective Studies Treatment Outcome Operative Time Laparoscopy Colonic Neoplasms Robotics Robotic Surgical Procedures Colectomy
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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...
Deep Learning Microsatellite Instability Microsatellite Repeats Humans Colonic Neoplasms Colorectal Neoplasms
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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...
Humans Neural Networks, Computer Machine Learning Algorithms Colonic Neoplasms Cell Nucleus
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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 ...
Neoplasm Recurrence, Local Colonic Neoplasms Retrospective Studies Neoplasm Staging Chemotherapy, Adjuvant Humans Artificial Intelligence Prognosis
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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...
Colectomy Mesocolon Laparoscopy Colonic Neoplasms Treatment Outcome Humans Lymph Node Excision 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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