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Data for: Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcoma

NIAID Data Ecosystem2026-03-11 收录

影像组学

骨肉瘤预后预测

数据链接：

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资源简介：

Radiomic from DWI Predicts Outcomes in Osteosarcoma

应用场景：

创建时间：

2019-10-11

CT影像自动分割

影像组学

This dataset contributes volumetric segmentations of the anatomic regions in a subset of CT images available from NCI Imaging Data Commons [1] (https://imaging.datacommons.cancer.gov/) automatically g

Mendeley Data2024-06-26 更新90

Data_Sheet_1_Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull Base.PDF

前颅底病变鉴别诊断

影像组学

Purpose: The aim of this study was to investigate the diagnostic value of machine-learning models with radiomic features and clinical features in preoperative differentiation of common lesions located

NIAID Data Ecosystem20

Correction: Harmonizing the pixel size in retrospective computed tomography radiomics studies

影像组学

医学影像预处理

Correction: Harmonizing the pixel size in retrospective computed tomography radiomics studies

Figshare2018-01-18 更新20

Table_1_Immune-Related LncRNAs Affect the Prognosis of Osteosarcoma, Which Are Related to the Tumor Immune Microenvironment.DOCX

骨肉瘤预后预测

肿瘤免疫微环境分析

Background: Abnormal expression of lncRNA is closely related to the occurrence and metastasis of osteosarcoma. The tumor immune microenvironment (TIM) is considered to be an important factor affecting

NIAID Data Ecosystem70

DataSheet3_Pretreatment Thoracic CT Radiomic Features to Predict Brain Metastases in Patients With ALK-Rearranged Non-Small Cell Lung Cancer.pdf

影像组学

肺癌脑转移风险

Objective: To identify CT imaging biomarkers based on radiomic features for predicting brain metastases (BM) in patients with ALK-rearranged non-small cell lung cancer (NSCLC). Methods: NSCLC patients

NIAID Data Ecosystem20

Data for: Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcoma

资源简介：

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