Cargando…

Correction: Advances in artificial intelligence and computer science for computer-aided diagnosis of colorectal polyps: current status

Detalles Bibliográficos
Autores principales:	van Bokhorst, Querijn NE, Houwen, Britt BSL, Hazewinkel, Yark, Fockens, Paul, Dekker, Evelien
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Georg Thieme Verlag KG 2023
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449564/ https://www.ncbi.nlm.nih.gov/pubmed/37637473 http://dx.doi.org/10.1055/a-2159-4772

Ejemplares similares

Advances in artificial intelligence and computer science for computer-aided diagnosis of colorectal polyps: current status
por: van Bokhorst, Querijn N E, et al.
Publicado: (2023)

Computer-aided diagnosis for optical diagnosis of diminutive colorectal polyps including sessile serrated lesions: a real-time comparison with screening endoscopists
por: Houwen, Britt B. S. L., et al.
Publicado: (2023)

Suboptimal endoscopic cancer recognition in colorectal lesions in a national bowel screening programme
por: Vleugels, Jasper L A, et al.
Publicado: (2020)

Colon Capsule Endoscopy: An Alternative for Conventional Colonoscopy?
por: Houwen, Britt B.S.L., et al.
Publicado: (2021)

Real-time diagnostic accuracy of blue light imaging, linked color imaging and white-light endoscopy for colorectal polyp characterization
por: Houwen, Britt B.S.L., et al.
Publicado: (2022)

Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis
por: Nazarian, Scarlet, et al.
Publicado: (2021)

Implementation of an optical diagnosis strategy saves costs and does not impair clinical outcomes of a fecal immunochemical test-based colorectal cancer screening program
por: Vleugels, Jasper L. A., et al.
Publicado: (2017)

Optical diagnosis of malignant colorectal polyps: is it feasible?
por: van der Vlugt, Manon, et al.
Publicado: (2016)

Real-time colorectal polyp detection using a novel computer-aided detection system (CADe): a feasibility study
por: Soons, E., et al.
Publicado: (2022)

The Workgroup Serrated Polyps and Polyposis (WASP) classification for optical diagnosis of colorectal diminutive polyps with iScan and the impact of the revised World Health Organization (WHO) criteria
por: Soons, Elsa, et al.
Publicado: (2021)

Logic for computer science and artificial intelligence
por: Caferra, Ricardo
Publicado: (2011)

Linked Colour imaging for the detection of polyps in patients with Lynch syndrome: a multicentre, parallel randomised controlled trial
por: Houwen, Britt B S L, et al.
Publicado: (2022)

Artificial intelligence: computer science, technology and applications
por: Rabelo, Luis, et al.
Publicado: (2017)

In vivo computer-aided diagnosis of colorectal polyps using white light endoscopy
por: García-Rodríguez, Ana, et al.
Publicado: (2022)

Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy
por: Liu, Wen-Na, et al.
Publicado: (2019)

Artificial Intelligence-Based Colorectal Polyp Histology Prediction: High Accuracy in Larger Polyps
por: Muguruma, Naoki, et al.
Publicado: (2022)

Editorial: Computer-aided drug design: Drug discovery, computational modelling, and artificial intelligence
por: Ye, Fei, et al.
Publicado: (2022)

Prospects and Challenges of Artificial Intelligence and Computer Science for the Future of Urology
por: Suarez-Ibarrola, Rodrigo, et al.
Publicado: (2020)

Endoscopists performance in optical diagnosis of colorectal polyps in artificial intelligence studies
por: Pecere, Silvia, et al.
Publicado: (2022)

Automatic textual description of colorectal polyp features: explainable artificial intelligence
por: Thijssen, Ayla, et al.
Publicado: (2023)

Endoscopic full-thickness resection of polyps involving the appendiceal orifice: a prospective observational case study
por: Bronzwaer, Maxime E.S., et al.
Publicado: (2018)

Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology
por: Min, Min, et al.
Publicado: (2019)

The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study
por: Lui, Ka Luen Thomas, et al.
Publicado: (2023)

Challenges in artificial intelligence for polyp detection
por: Mori, Yuichi, et al.
Publicado: (2022)

IFIP Working Conference on Artificial Intelligence and Pattern Recognition in Computed-aided Design
por: Latombe, Jean Claude
Publicado: (1978)

Computer-aided detection in chest radiography based on artificial intelligence: a survey
por: Qin, Chunli, et al.
Publicado: (2018)

Artificial Intelligence-Based Solution in Personalized Computer-Aided Arthroscopy of Shoulder Prostheses
por: Sultan, Haseeb, et al.
Publicado: (2022)

Visions of Artificial Intelligence and Robots in Science Fiction: a computational analysis
por: Osawa, Hirotaka, et al.
Publicado: (2022)

The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
por: Troya, Joel, et al.
Publicado: (2022)

Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects
por: Wang, Ke-Wei, et al.
Publicado: (2020)

Artificial intelligence-based endoscopic diagnosis of colorectal polyps using residual networks
por: Komeda, Yoriaki, et al.
Publicado: (2021)

Evaluation of an Artificial Intelligence–Augmented Digital System for Histologic Classification of Colorectal Polyps
por: Nasir-Moin, Mustafa, et al.
Publicado: (2021)

Erratum: Automatic textual description of colorectal polyp features: explainable artificial intelligence
por: Thijssen, Ayla, et al.
Publicado: (2023)

Artificial intelligence and computer vision
por: Lu, Huimin, et al.
Publicado: (2017)

Soft computing in artificial intelligence
por: Cho, Young, et al.
Publicado: (2014)

Artificial intelligence and computational pathology
por: Cui, Miao, et al.
Publicado: (2021)

Improvement in adenoma detection using a novel artificial intelligence-aided polyp detection device
por: Shaukat, Aasma, et al.
Publicado: (2021)

An Interpretable Three-Dimensional Artificial Intelligence Model for Computer-Aided Diagnosis of Lung Nodules in Computed Tomography Images
por: Hung, Sheng-Chieh, et al.
Publicado: (2023)

Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening
por: Spadaccini, Marco, et al.
Publicado: (2023)

Automated sizing of colorectal polyps using computer vision
por: Abdelrahim, Mohamed, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_b7i2evb42ig4ll9s34gd9a3r6n