首页> 外文OA文献 >Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease

【2h】

Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease

机译：转移学习与传统机器学习的比较适用于结构性脑研发，为阿尔茨海默病的早期诊断和预后

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Loris Nanni; Matteo Interlenghi; Sheryl Brahnam; Christian Salvatore; Sergio Papa; Raffaello Nemni; Isabella Castiglioni;
展开▼
作者单位

展开▼
年度 2020
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. A Survey on Computer-Aided Diagnosis of Brain Disorders through MRI Based on Machine Learning and Data Mining Methodologies with an Emphasis on Alzheimer Disease Diagnosis and the Contribution of the Multimodal Fusion [J] . Lilia Lazli, Mounir Boukadoum, Otmane Ait Mohamed Applied Sciences . 2020,第5期

机译：基于机器学习和数据挖掘方法的MRI计算机辅助诊断脑疾病诊断调查，重点对阿尔茨海默病诊断及多峰融合的贡献
2. Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer's disease [J] . Lahmiri Salim, Shmuel Amir Biomedical signal processing and control . 2019,第JULa期

机译：机器学习方法应用于结构性MRI和ADAS认知评分在诊断阿尔茨海默氏病中的表现
3. Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer's disease [J] . Lahmiri Salim, Shmuel Amir Biomedical signal processing and control . 2019,第Jula期

机译：机器学习方法的性能应用于诊断阿尔茨海默病的结构MRI和ADAS认知评分
4. Classification of Alzheimer's disease and mild cognitive impairment: Machine learning applied to rs-fMRI brain graphs [C] . Soroosh Golbabaei, Amirali Vahid, Javad Hatami, 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering . 2016

机译：阿尔茨海默氏病和轻度认知障碍的分类：机器学习应用于rs-fMRI脑图
5. Feature selection methods for support vector machines for two or more classes, with applications to the analysis of Alzheimer's disease and its onset with MRI brain image processing. [D] . Aksu, Yaman. 2010

机译：支持向量机的特征选择方法分为两类或更多类，可用于阿尔茨海默氏病的分析及其在MRI脑图像处理中的发作。
6. Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimers Disease [O] . Loris Nanni, Matteo Interlenghi, Sheryl Brahnam, 2020

机译：转移学习与传统机器学习的比较适用于结构性脑研发为阿尔茨海默病的早期诊断和预后
7. A Survey on Computer-Aided Diagnosis of Brain Disorders through MRI Based on Machine Learning and Data Mining Methodologies with an Emphasis on Alzheimer Disease Diagnosis and the Contribution of the Multimodal Fusion [O] . Lilia Lazli, Mounir Boukadoum, Otmane Ait Mohamed 2020

机译：基于机器学习和数据挖掘方法的MRI计算机辅助诊断脑疾病诊断调查，重点对阿尔茨海默病诊断及多峰融合的贡献

Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease

著录项

引文网络

相似文献

相关主题

期刊订阅