… 因此,電腦輔助偵測 (Computer-aided Detection, CADe) 系統被… in medical usage because of
the success of deep learning in … data preprocessing, the lung nodule detection, and the initial …

… 摘要(英) The diagnostic records of medical cases are of very high research and clinical … If
these diagnostic files are well used and implemented in computer-aided monitoring systems, …

… medicine. The advent of deep learning algorithms, advances in computing hardware and …
在21世纪初期引入了计算机辅助检测(computer-aided detection,CADe)和计算机辅助诊断(…

… CT slices with large intracranial hematomas using C4.5 algorithm. These decision rules work
… a multi-resolution binary level set method using image pyramids and apply it to hematoma …

… Hospital of Army Medical University, Chongqing 400042, China Abstract: Objective To
develop a computer aided diagnosis (CAD) tool based on the Mask R-CNN algorithm, aiming to …

… machine learning algorithm. Eventually, the convolutional data density functional theory will
be adopted for the feature extraction and image segmentation. The desired outcome of this …

… Therefore, circling the lesion part by computer aided diagnosis(CAD) is not only simplified …
, but also providing more medical information by computer. Segmenting the medical image by …

… accuracy of nodule volume and long diameter with a deep learning-based computer aided
diagnostic system (DL-CAD) using an anthropomorphic chest phantom. Methods: Methods:…

… To develop Gleason score prediction, MRI computer- aided algorithm diagnosis, surgical
results and biochemical recurrence prediction for prostate cancer, and provide individualized …

… of computer-aided diagnostic systems for this purpose. In recent years, deep neural … of
diabetic retinopathy, there have been many methods that use deep learning developed to …