AIMC Topic: Colonic Neoplasms

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Deep Learning and Colon Cancer Interpretation: Rise of the Machine.

Surgical pathology clinics
The rapidly evolving development of artificial intelligence (AI) has spurred the development of numerous algorithms that augment information obtained from routine pathologic review of hematoxylin and eosin-stained slides. AI tools that predict progno...

Implementation of totally robotic right hemicolectomy: lessons learned from a prospective cohort.

Journal of robotic surgery
Robotics facilitates the realization of intra-corporeal anastomosis during right hemicolectomy and allows extracting the operative specimen through a C-section, offering potential benefits in terms of post-operative recovery and incidence of incision...

Sources of performance variability in deep learning-based polyp detection.

International journal of computer assisted radiology and surgery
PURPOSE: Validation metrics are a key prerequisite for the reliable tracking of scientific progress and for deciding on the potential clinical translation of methods. While recent initiatives aim to develop comprehensive theoretical frameworks for un...

Right hemicolectomy for ascending colon cancer using the hinotori surgical robot system: The first ever case report for colon cancer.

Asian journal of endoscopic surgery
The hinotori Surgical Robot System obtained pharmaceutical approval for use in colorectal cancer surgery in October 2022 in Japan, and its advantages, including its operating arm with eight axes, adjustable arm base, and flexible 3D viewer, are expec...

A trial deep learning-based model for four-class histologic classification of colonic tumor from narrow band imaging.

Scientific reports
Narrow band imaging (NBI) has been extensively utilized as a diagnostic tool for colorectal neoplastic lesions. This study aimed to develop a trial deep learning (DL) based four-class classification model for low-grade dysplasia (LGD); high-grade dys...

An Investigation about Modern Deep Learning Strategies for Colon Carcinoma Grading.

Sensors (Basel, Switzerland)
Developing computer-aided approaches for cancer diagnosis and grading is currently receiving an increasing demand: this could take over intra- and inter-observer inconsistency, speed up the screening process, increase early diagnosis, and improve the...

18F-FDG PET/CT Image Deep Learning Predicts Colon Cancer Survival.

Contrast media & molecular imaging
Colon cancer is a type of cancer that begins in the large intestine. In the process of efficacy evaluation, postoperative recurrence prediction and metastasis monitoring of colon cancer, traditional medical image analysis methods are highly dependent...