Automated Classification of Colorectal Neoplasms in White-Light Colonoscopy Images via Deep Learning
Background: Classification of colorectal neoplasms during colonoscopic examination is important to avoid unnecessary endoscopic biopsy or resection. This study aimed to develop and validate deep learning models that automatically classify colorectal ...
Y. Yang+8 more
semanticscholar +1 more source
Introduction: We aimed to compare the efficacy of endoscopic ultrasound elastography (EUS-EG) with that of magnifying chromoendoscopy (MCE) and endoscopic ultrasonography (EUS) for the diagnosis of the depth of invasion in colorectal neoplasms.
Masaya Esaki+17 more
semanticscholar +1 more source
White Opaque Substance, a New Optical Marker on Magnifying Endoscopy: Usefulness in Diagnosing Colorectal Epithelial Neoplasms [PDF]
Background/Aims A white substance that is opaque to endoscopic light is sometimes observed in the epithelium during narrowband imaging with magnifying endoscopy of gastric or colorectal epithelial neoplasms.
Kazutomo Yamasaki+8 more
doaj +1 more source
Convolutional Neural Network-Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study [PDF]
Colorectal and prostate cancers are the most common types of cancer in men worldwide. To diagnose colorectal and prostate cancer, a pathologist performs a histological analysis on needle biopsy samples. This manual process is time-consuming and error-prone, resulting in high intra and interobserver variability, which affects diagnosis reliability. This
arxiv +1 more source
Peroxiredoxins in colorectal neoplasms.
Peroxiredoxins (Prxs) are novel group proteins with efficient antioxidant capacity, and some of them also have effects on cell proliferation, differentiation, apoptosis, and chemotherapy and radiotherapy resistance. Altogether six distinct Prxs expressions were investigated in histological samples of colorectal neoplasm and the distant normal tissues ...
Wu, X.Y., Fu, X.Z., Wang, X.H.
openaire +4 more sources
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading [PDF]
Histopathological characterization of colorectal polyps allows to tailor patients' management and follow up with the ultimate aim of avoiding or promptly detecting an invasive carcinoma. Colorectal polyps characterization relies on the histological analysis of tissue samples to determine the polyps malignancy and dysplasia grade.
arxiv +1 more source
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images [PDF]
Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (IPMN), in pancreas is a challenging and complex task, and it may lead to a more favourable outcome. Once detected, grading IPMNs accurately is also necessary, since low-risk IPMNs can be under surveillance program, while high-risk IPMNs have to be ...
arxiv +1 more source
Helicobacter pylori and colorectal neoplasms: a concise review [PDF]
ABSTRACT Helicobacter pylori is the main etiological agent of all malignant tumors caused by an infectious disease. It is a major, at times dominant, factor in the pathogenesis of a large spectrum of diseases such as acute and chronic gastritis, gastric and duodenal ulcers, gastric carcinoma, and lymphoma.
Luiz Gonzaga Vaz COELHO+1 more
openaire +5 more sources
Aim: to analyze the safety and effectiveness of the method of cold snaring resection with preliminary hydropreparation when removing superficially colorectal epithelial neoplasms with a diameter of 5 to 25 mm.Material and methods.
D. A. Andreev, A. A. Zavyalov
doaj +1 more source
Infection and Colorectal Neoplasm
Colorectal cancer is a major cause of cancer-related morbidity and mortality. Colorectal cancer is the third most common malignancy and the 4th most common cause of cancer mortality worldwide. A number of infectious agents are considered to be cancer risk factors due to the hypothesis-generating and supportive evidence accumulated to date.
Ricky Rivalino Sitepu+2 more
openaire +2 more sources