… A review of machinelearning and deeplearning applications[J]. 2018 Fourth International … Clinically applicable deeplearning for diagnosis and referral in retinal disease[J]. Nat Med, …
… This thesis proposes a deeplearning method which uses a … models established by machine learningalgorithms with their … Computeraideddiagnosis of fatty liver ultrasonic images …
… Deeplearning based image recognition for crack and leakage defects of metro … Deep learning-based crack damage detectionusing convolutional neural networks[J]. Computer-Aided …
… classification algorithms were compared in machinelearning, such as support vector machine, … Computeraideddiagnosis method for breast cancer based on AlexNet and ensemble …
… intelligence experimental application, this paper designs a computer-aideddiagnosis system that can detect the location of lesion area by using improved deeplearningalgorithm…
… machinelearningalgorithms have been extensively employed in all the fields of stroke medicine… Since the development of computer-aideddiagnosis (CAD) in 1980, CAD has evolved …
李欣菱, 郭芳芳, 周振, 张番栋, 王卿… - Chinese Journal of …, 2019 - ncbi.nlm.nih.gov
… Deeplearning 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-aideddetection, CAD)系统具有优势。…
… using a deeplearning 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 machinelearning improves the accuracy of wound assessment and analysis and there are some recent works started on this field of wound analysis. …