… algorithm. Comparison analyses were conducted with the existing computer aided diagnosis
… accuracy than manual feature extraction and deep learning -based feature extraction. The …

… A review of machine learning and deep learning applications[J]. 2018 Fourth International
… Clinically applicable deep learning for diagnosis and referral in retinal disease[J]. Nat Med, …

… This thesis proposes a deep learning method which uses a … models established by machine
learning algorithms with their … Computer aided diagnosis of fatty liver ultrasonic images …

… Deep learning based image recognition for crack and leakage defects of metro … Deep
learning-based crack damage detection using convolutional neural networks[J]. Computer-Aided …

… classification algorithms were compared in machine learning, such as support vector machine,
… Computer aided diagnosis method for breast cancer based on AlexNet and ensemble …

… intelligence experimental application, this paper designs a computer-aided diagnosis
system that can detect the location of lesion area by using improved deep learning algorithm…

… machine learning algorithms have been extensively employed in all the fields of stroke
medicine… Since the development of computer-aided diagnosis (CAD) in 1980, CAD has evolved …

… Deep learning based Artificial intelligence (AI) presents as the state of the art in the area of
nodule detection… 传统的计算机辅助检测系统（computer-aided detection, CAD）系统具有优势。…

… using a deep learning semantic segmentation Unet model with an FPN-ResNeXt backbone.
Fifteen subjects (75%) were randomly selected as the training set, and the remaining 5 …

… The advance of image process and machine learning improves the accuracy of wound
assessment and analysis and there are some recent works started on this field of wound analysis. …