[HTML][HTML] 深度学习在医学影像学中的研究现状及发展前景

林冰洁, 王梅云 - 山东大学学报(医学版), 2024 - yxbwk.njournal.sdu.edu.cn
… and prognosis prediction based on deep learning have become the hot spots of many … the
current status of deep learning application in the main technical fields of medical imaging, and …

以影像前處理加強全卷積網路於醫療影像輪廓圈選之應用研究

黃昱鈞 - 2018 - tdr.lib.ntu.edu.tw
… 偵測及診斷 (Computer-Aided Detection and Diagnosis, CAD),首要… of computer computing
power, deep learning techniques, such as … This study combines medical imaging features and …

基于深度学习的神经母细胞瘤计算机辅助分级系统的研发初探

陈龙, 郑焜, 沈云明, 苏畅 - 中国医疗器械杂志, 2019 - zgylqxzz.xml-journal.net
… 以深度学习(Deep Learning)为核心… using Deep Neural Network(CNN) algorithm as the core
technology. The module is integrated to realize the development of computeraided diagnostic

深度學習在腦部影像的臨床應用

蕭輔仁, 廖珩君, 廖俊智 - 台灣醫學, 2020 - airitilibrary.com
… With the aid of deep learning, the process of medical image analysis has undergone … on
modern electrocardiography machines. Similar computer-aided diagnosis may be implemented …

[引用][C] 基于高分辨率颅脑CT 体数据的病变自动检出方法研究

范亚 - 2011 - 中国科学技术大学

針對腹部超音波影像利用巢式ResNet 方法建立脂肪肝分類模型

林和寬 - 義守大學資訊工程學系學位論文, 2019 - airitilibrary.com
… 輔助診斷系統(Computer-Aided Diagnosis, CAD)… through manually pre-processing and
extracting features of images. Now a day, the artificial intelligent with deep learning algorithms are …

基于机器学习的脑胶质瘤多模态影像分析

吴强, 何泽鲲, 刘琚, 崔晓萌, 孙双… - 山东大学学报(医学 …, 2020 - yxbwk.njournal.sdu.edu.cn
… A computer-aided diagnosis system for glioma grading using three dimensional texture
analysis and machine learning in MRI brain tumour [C]. International Conference on Bio-…

基於深度學習之乳房超音波單階段腫瘤偵測

YC Ho - 國立臺灣大學資訊工程學系學位論文, 2019 - airitilibrary.com
… In recent, the computer-aided system based on the convolutional neural network (CNN) had
… tumor detection and diagnosis on the medical image. Therefore, a computer-aided detection

基于CT 图像特征提取及改进SVM 算法的肺结节诊断方法研究.

刘晶晶, 邵亮 - Chinese Medical Equipment Journal, 2023 - search.ebscohost.com
algorithm. Comparison analyses were conducted with the existing computer aided diagnosis
… accuracy than manual feature extraction and deep learning -based feature extraction. The …

青光眼影像人工智能深度学习研究现状与展望

冉安然 - 山东大学学报(医学版), 2020 - yxbwk.njournal.sdu.edu.cn
… 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, …