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

Mendeley Data2026-04-18 收录

影像组学

骨肉瘤医学影像分析

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https://data.mendeley.com/datasets/mk2nbc2s7s 数据链接链接失效反馈

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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

胶质瘤PET特征及MGMT甲基化数据集

影像组学

肿瘤生物标志物

该数据集包含了胶质瘤PET的影像学特征及MGMT启动子甲基化情况，可以将影像学数据定量化并反映与MGMT启动子甲基化关系，是科研、论文发表的基础，为决定胶质瘤患者治疗方案、化疗敏感性、预测预后打下基础。

国家人口健康科学数据中心70

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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