… 7 shows that the deep learning model has different capabilities in classifying ulcerative colitis
… 8,9,10 show the confusion matrix of the deep learning model. The confusion matrix based …

… Conclusions and Relevance This study found that deep learning model performance was
similar to experienced human reviewers in grading endoscopic severity of UC. Given its …

Background and Aims Endoscopy is increasingly performed for evaluating patients with
ulcerative colitis (UC). However, its diagnostic accuracy is largely affected by the subjectivity of …

… deep learning models in the automated grading of each individual MES in ulcerative
colitis. … In this context, we sought to investigate the utility of deep learning in the multiclass …

… aspects contribute to ulcerative colitis. People with ulcerative colitis have a higher risk of …
Colonoscopic and histologic findings can be utilized to diagnose ulcerative colitis. Although …

… learning includes computer-aided diagnosis (CAD), radiomics, and medical image analysis.
Recently, deep learning, … diagnosis system with deep learning and machine learning (DLML-…

… fully automated system based on deep learning to predict a binary … The proposed deep
learning–based system has been trained … frames driving the severity scoring of ulcerative colitis. …

… ulcerative colitis. We aimed to adapt our previous deep neural network system (deep neural
ulcerative colitis [… deep learning in various medical fields. However, the evidence on AI for …

… Deep learning has the potential to revolutionize how we practice medicine; however, there
are several barriers to overcome before its implementation into routine clinical care. First, …

… We propose a regression-based deep learning approach for the endoscopic evaluation of
UC according to the Mayo endoscopic score (MES). Five state-of-the-art convolutional neural …