Daniel Fitting
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View article: Automated classification of polyps using deep learning architectures and few-shot learning
Automated classification of polyps using deep learning architectures and few-shot learning Open
Background Colorectal cancer is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is a colonoscopy. However, not all colon polyps have the risk of becoming cancerous. Therefore, polyps are classified using …
View article: A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks
A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks Open
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist searches for polyps. However, there is a potential risk of p…
View article: Automated classification of polyps using deep learning architectures and few-shot learning
Automated classification of polyps using deep learning architectures and few-shot learning Open
Background : Colorectal cancer is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is a colonoscopy. However, not all colon polyps have the risk of becoming cancerous. Therefore, polyps are classified usin…
View article: Secondary Sclerosing Cholangitis Following Coronavirus Disease 2019 (COVID-19): A Multicenter Retrospective Study
Secondary Sclerosing Cholangitis Following Coronavirus Disease 2019 (COVID-19): A Multicenter Retrospective Study Open
Background Secondary sclerosing cholangitis (SSC) is a rare disease with poor prognosis. Cases of SSC have been reported following coronavirus disease 2019 (COVID-SSC). The aim of this study was to compare COVID-SSC to SSC in critically il…
View article: Secondary sclerosing cholangitis following COVID-19 disease: a multicenter retrospective study
Secondary sclerosing cholangitis following COVID-19 disease: a multicenter retrospective study Open
View article: A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems
A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems Open
Our benchmark ENDOTEST may be helpful for preclinical testing of new CADe devices. There seems to be a correlation between a shorter FDT with a higher sensitivity and a lower specificity for polyp detection.
View article: Fast machine learning annotation in the medical domain: a semi-automated video annotation tool for gastroenterologists
Fast machine learning annotation in the medical domain: a semi-automated video annotation tool for gastroenterologists Open
View article: Pilot study of a new freely available computer-aided polyp detection system in clinical practice
Pilot study of a new freely available computer-aided polyp detection system in clinical practice Open
Purpose Computer-aided polyp detection (CADe) systems for colonoscopy are already presented to increase adenoma detection rate (ADR) in randomized clinical trials. Those commercially available closed systems often do not allow for data col…
View article: The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze Open
Background Multiple computer-aided systems for polyp detection (CADe) have been introduced into clinical practice, with an unclear effect on examiner behavior. This study aimed to measure the influence of a CADe system on reaction time, mu…
View article: A Real-Time Polyp Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks
A Real-Time Polyp Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks Open
Background : Colorectal cancer (CRC) is still a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is a colonoscopy. During this procedure, the colonoscopist searches for polyps. However, there is a potential …
View article: A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems
A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems Open
Computer-aided polyp detection (CADe) may become a standard for polyp detection during colonoscopy. Several systems are already commercially available. We report on a video-based benchmark technique for the first preclinical assessment of …
View article: Fast Machine Learning Annotation in the Medical Domain: A Semi-Automated Video Annotation Tool for Gastroenterologists
Fast Machine Learning Annotation in the Medical Domain: A Semi-Automated Video Annotation Tool for Gastroenterologists Open
Background: Machine learning, especially deep learning, is becoming more and more relevant in research and development in the medical domain. For all of the supervised deep learning applications, data is the most critical factor in securin…
View article: Current status and limitations of artificial intelligence in colonoscopy
Current status and limitations of artificial intelligence in colonoscopy Open
Background Artificial intelligence (AI) using deep learning methods for polyp detection (CADe) and characterization (CADx) is on the verge of clinical application. CADe already implied its potential use in randomized controlled trials. Fur…
View article: Establishing an indwelling peritoneal catheter as a standard procedure for hospitalized patients with ascites: Retrospective data on feasibility, effectiveness and safety
Establishing an indwelling peritoneal catheter as a standard procedure for hospitalized patients with ascites: Retrospective data on feasibility, effectiveness and safety Open
Background The use of an indwelling peritoneal catheter system in hospitalized patients with ascites could facilitate patient management by the prevention of repetitive abdominal paracentesis. Despite these possible benefits, the use of in…
View article: IL‐22 and IL‐22‐Binding Protein Are Associated With Development of and Mortality From Acute‐on‐Chronic Liver Failure
IL‐22 and IL‐22‐Binding Protein Are Associated With Development of and Mortality From Acute‐on‐Chronic Liver Failure Open
Interleukin‐22 (IL‐22) has context‐dependent hepatoprotective or adverse properties in vitro and in animal models. IL‐22 binding protein (IL‐22BP) is a soluble inhibitor of IL‐22 signaling. The role of IL‐22 and IL‐22BP in patients with ac…
View article: Evaluation of 2D- Shear Wave Elastography for Characterisation of Focal Liver Lesions
Evaluation of 2D- Shear Wave Elastography for Characterisation of Focal Liver Lesions Open
Background & Aim: This is a prospective study for evaluation of 2D-shear wave elastography (2D-SWE) for characterisation and differentiation of benign und malignant focal liver lesions (FLLs).Methods: The patients referred to our ultrasoun…