相关数据集
Dataset to identify lung disorders among COVID-19 patients using machine learning models
This data article explicit the breathing patterns of COVID-19 infected people and normal people with the openly available ultrasound videos by applying Non-Rigid Bodies (NRB) algorithm along with six
Mendeley Data2021-02-01 更新30
HDLNET: A Hybrid Deep Learning Network Model with Intelligent IOT for Detection and Classification of Chronic Kidney Disease
Over 10% of the world's population now suffers from chronic kidney disease (CKD), and millions die yearly. To extend the lives of those suffering and lower the cost of therapy, CKD should be detected
IEEE20
CERVICAL INTRAEPITHELIAL NEOPLASIA: MODERN DIAGNOSTIC METHODS AND THE ROLE OF ARTIFICIAL INTELLIGENCE
Cervical Cervical intraepithelial neoplasia (CIN) is a precancerous lesion of the cervical epithelium characterized by abnormal cell differentiation and proliferation. In most cases, the disease devel
Zenodo2026-01-25 更新10
人工智能化分析技术平台
临床研究术后影像学分析工作量大，不能医院不同工作人员分析有一定差异。因此，建立智能化标准化的临床影像学分析平台十分必要。结合人工智能技术在最近几年在医疗领域中有着极其广泛的应用，其中计算机视觉在医疗影像分析上存在巨大的应用潜力。
国家人口健康科学数据中心20
DataSheet_1_Development and validation of a high-resolution T2WI-based radiomic signature for the diagnosis of lymph node status within the mesorectum in rectal cancer.docx
PurposeThe aim of this study was to explore the feasibility of a high-resolution T2-weighted imaging (HR-T2WI)-based radiomics prediction model for diagnosing metastatic lymph nodes (LNs) within the m
NIAID Data Ecosystem10
