官方服务：
资源简介：
NSCLC tumour ROI
应用场景：
创建时间：
2022-01-06
相关数据集
Predicting Response to Neoadjuvant Chemotherapy with PET Imaging using Convolutional Neural Networks
Excel file containing ROI features for all 107 patients as described in the article.
Figshare2016-01-20 更新40
DataSheet_1_Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma.docx
IntroductionThe molecular subtype plays a significant role in breast carcinoma (BC), which is the main indicator to guide treatment and is closely associated with prognosis. The aim of this study was
NIAID Data Ecosystem10
AusCAT Simulation Tabular Data
This data is part of the NCLC Radiomics dataset provided by The Cancer Imaging Archive (TCIA) and is released under the Creative Commons Attribution 3.0 Unported License. CAUTION: This data is provide
Zenodo2023-02-02 更新00
Demographics of patient cohort.
Kidney cancer is among the top 10 most common malignancies in adults, and is commonly evaluated with four-phase computed tomography (CT) imaging. However, the presence of missing or corrupted images r
Figshare2025-08-13 更新10
DataSheet_1_Noninvasive evaluation of neutrophil extracellular traps signature predicts clinical outcomes and immunotherapy response in hepatocellular carcinoma.csv
BackgroundNeutrophil extracellular traps (NETs) have been shown to play a pivotal role in promoting metastasis and immune escape in hepatocellular carcinoma (HCC). Therefore, noninvasive tests to dete
NIAID Data Ecosystem00
