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<b>Alzheimers_Disease_Dataset</b>

NIAID Data Ecosystem2026-05-02 收录

阿尔茨海默病诊断

医学影像分类

数据链接：

https://figshare.com/articles/dataset/_b_Alzheimers_Disease_Dataset_b_/28286747 数据链接链接失效反馈

官方服务：

资源简介：

Deep Learning Type Convolution Neural Network Architecture for Multiclass Classification of Alzheimer’s Disease

应用场景：

创建时间：

2025-01-27

阿尔茨海默病诊断

荧光探针成像

Accumulation of amyloid-beta (Aβ) into amyloid plaques and hyperphosphorylated tau into neurofibrillary tangles (NFTs) are pathological hallmarks of Alzheimer’s disease (AD). There is a significant in

NIAID Data Ecosystem330

Table_2_The Clinical Course of Early and Late Mild Cognitive Impairment.DOCX

轻度认知障碍临床病程

阿尔茨海默病诊断

IntroductionAmnestic mild cognitive impairment (MCI) can be classified as either early MCI (EMCI) or late MCI (LMCI) according to the severity of memory impairment. The aim of this study was to compar

NIAID Data Ecosystem60

Leukemia Classification

白血病细胞

医学影像分类

Contains ALL infected and normal non cancerous cells

Mendeley Data50

Fundus Image-Based Automatic Segmentation

视网膜疾病

医学影像分类

In this study, we formulate the task of retinal disease diagnosis as a supervised multiclass classification problem. The goal is to automatically assign each fundus image to one of four predefined dia

NIAID Data Ecosystem90

Data_Sheet_1_A zero-dose synthetic baseline for the personalized analysis of [18F]FDG-PET: Application in Alzheimer’s disease.docx

阿尔茨海默病诊断

PET图像合成

PurposeBrain 2-Deoxy-2-[18F]fluoroglucose ([18F]FDG-PET) is widely used in the diagnostic workup of Alzheimer’s disease (AD). Current tools for uptake analysis rely on non-personalized templates, whic

NIAID Data Ecosystem60

<b>Alzheimers_Disease_Dataset</b>

资源简介：

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