… with deep learning using AI may enable a more accurate diagnosis of SM invasion depth in
… It is necessary to examine the features of images that can improve the accuracy of diagnosis …

… diagnosis of burns lacks accuracy and difference. Therefore, we use deep learning technology
to automate and standardize burn diagnosis to reduce human errors and improve burn …

… diagnosis of colorectal cancer (CRC) invasion depth with … deep learning–based system,
incorporated with both WL and IEE images (named Endo-CRC) in estimating the invasion depth …

… Based on that, we propose an in-depth summary of deep-learning-based methods in the …
deep learning technologies, the exploration of analysis methods based on deep learning, and a …

… using deep learning. In this paper, we put on an introspective hat and analyze state-ofthe-art
monocular depth … To address errors in depth estimation, we introduce a novel Depth Error …

… This study aimed to evaluate the performance of a three-dimensional depth sensor
imaging system with a deep learning algorithm, in predicting the Cobb angle in AIS. …

… This paper presents a deep convolutional neural network to classify burn depth based on …
-partial and deep-partial thickness burns. Early diagnosis of burn depth dictates the treatment …

… Discriminating burns depth using machine learning was also reported in a study by [22]. The
aim is to provide a reliable diagnostic technique to deduce whether a sustained burn injury …

… ) framework for monocular endoscopy depth estimation. Estimated depth is used to reconstruct
… We show that the estimated depth maps can be used for reconstructing the topography of …

… We also found that adding several clinical variables to the deep learning model can improve
its diagnostic performance. This shows that information fusion with multiple sources and …