AIMC Topic: Colon

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Quantitative assessment of colorectal morphology: Implications for robotic colonoscopy.

Medical engineering & physics
This paper presents a method of characterizing the distribution of colorectal morphometrics. It uses three-dimensional region growing and topological thinning algorithms to determine and visualize the luminal volume and centreline of the colon, respe...

Robot-assisted surgery for the radical treatment of deep infiltrating endometriosis with colorectal involvement: short- and mid-term surgical and functional outcomes.

International journal of colorectal disease
PURPOSE: Sexual and urinary dysfunctions are complications in radical treatment of deep infiltrating endometriosis (DIE) with colorectal involvement. The aim of this article is to report the preliminary results of our single-institution experience wi...

Polyp Detection via Imbalanced Learning and Discriminative Feature Learning.

IEEE transactions on medical imaging
Recent achievement of the learning-based classification leads to the noticeable performance improvement in automatic polyp detection. Here, building large good datasets is very crucial for learning a reliable detector. However, it is practically chal...

Robotic right colectomy with intracorporeal anastomosis compared with laparoscopic right colectomy with extracorporeal and intracorporeal anastomosis: a retrospective multicentre study.

Surgical endoscopy
BACKGROUND: Growing evidence suggests that the intracorporeal fashioning of an anastomosis after a laparoscopic right colectomy may offer several advantages. However, due to the difficulty of the intracorporeal technique, laparoscopic extracorporeal ...

Ulcerative Colitis Severity Classification and Localized Extent (UC-SCALE): An Artificial Intelligence Scoring System for a Spatial Assessment of Disease Severity in Ulcerative Colitis.

Journal of Crohn's & colitis
BACKGROUND AND AIMS: Validated scoring methods such as the Mayo Clinic Endoscopic Subscore (MCES) evaluate ulcerative colitis (UC) severity at the worst colon segment, without considering disease extent. We present the Ulcerative Colitis Severity Cla...

Investigating the molecular mechanisms associated with ulcerative colitis through the application of single-cell combined spatial transcriptome sequencing.

Frontiers in immunology
BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory bowel disease marked by dysregulated immune responses, resulting in sustained inflammation and ulceration of the colonic and rectal mucosa. To elucidate the cellular subtypes and gene expr...

Colon Disease Classification Method Based on Deep Learning.

Studies in health technology and informatics
Objective Colorectal cancer (CRC) is a common malignant tumor of the digestive system with a high incidence rate. It is prone to misdiagnosis or missed diagnosis in clinical practice. Therefore, researching computer-aided diagnostic methods for endos...

Colon histology slide classification with deep-learning framework using individual and fused features.

Mathematical biosciences and engineering : MBE
Cancer occurrence rates are gradually rising in the population, which reasons a heavy diagnostic burden globally. The rate of colorectal (bowel) cancer (CC) is gradually rising, and is currently listed as the third most common cancer globally. Theref...

Identification of Ulcers and Erosions by the Novel Pillcamâ„¢ Crohn's Capsule Using a Convolutional Neural Network: A Multicentre Pilot Study.

Journal of Crohn's & colitis
BACKGROUND AND AIMS: Capsule endoscopy is a central element in the management of patients with suspected or known Crohn's disease. In 2017, PillCamâ„¢ Crohn's Capsule was introduced and demonstrated to have greater accuracy in the evaluation of extensi...