相关数据集
Datasets of "Influence of contrast and texture based image modifications on the performance and attention shift of U-Net models for brain tissue segmentation" Part 11 of 14
This dataset is part of the work https://www.frontiersin.org/articles/10.3389/fnimg.2022.1012639/full. This is the eleventh part of 14 parts of the full dataset (11/14). It contains 3 sets of simulate
NIAID Data Ecosystem100
承德市兴隆县-卫生-住院开单科室数据
该数据资源为承德市兴隆县-兴隆县人民医院在提供患者就诊服务中产生的诊疗数据，包括序号，患者住院号等具体信息，可应用于AI大模型训练等场景。
国家公共数据资源登记平台50
DataSheet_1_A contrast-enhanced CT-based radiomic nomogram for the differential diagnosis of intravenous leiomyomatosis and uterine leiomyoma.zip
ObjectiveUterine intravenous leiomyomatosis (IVL) is a rare and unique leiomyoma that is difficult to surgery due to its ability to extend into intra- and extra-uterine vasculature. And it is difficul
NIAID Data Ecosystem20
Patient_ClinicalData_2025
This dataset underwent rigorous de-identification:Direct identifiers (names, IDs) were deleted;Indirect identifiers (age > 89, rare diagnoses) were generalized;Pixel-level anonymization was applied
DataCite Commons2025-10-13 更新60
pretrained networks for deep learning applications
Pretrained networks for a variety of problems. WBIR networks are named wbir* put them all in a folder called "models" then see create_wbir_models.R for how to load them wbir_random_vgg_3d --- 3dvgg i
NIAID Data Ecosystem30
