首页/数据集/TABLE 1 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence

TABLE 1 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence

Figshare2024-05-23 更新2026-04-28 收录

癌症病理图像分析

肿瘤复发预测

数据链接：

https://figshare.com/articles/dataset/TABLE_1_from_Use_of_Deep_Learning_to_Evaluate_Tumor_Microenvironmental_Features_for_Prediction_of_Colon_Cancer_Recurrence/25888366 数据链接链接失效反馈

官方服务：

资源简介：

DL-derived tumor morphologic features by DNA MMR status

应用场景：

创建时间：

2024-05-23

肿瘤复发预测

microRNA生物标志物

Identification for microRNA signatures to predict breast cancer recurrence in young women were performed through expression profiling of a total 2565 miRNAs in 45 samples diagnosed as invasive ducatal

NIAID Data Ecosystem80

torchmil/PANDA_MIL

癌症病理图像分析

示例学习

PANDA多实例学习数据集是针对多实例学习（MIL）任务改编的PANDA数据集版本。该数据集包含了经过苏木精和伊红染色的前列腺活检样本的整个幻灯片图像，并且通过提取相关补丁以及计算每个补丁的特征进行了预处理。数据集中的每个补丁和幻灯片根据是否含有癌组织进行标签化。

Hugging Face2025-05-16 更新40

DNA methylation profiling of bulk tumors and sorted cells from colorectal cancer patients (Samsung Medical Center cohort)

肿瘤复发预测

甲基化组学

To identify biomarkers for predicting recurrence of colorectal cancer patients, we performed targeted bisulfite sequencing for (1) isolated cell types in blood and tumors from 7 patients and (2) bulk

NIAID Data Ecosystem30

Expression profiling defines a recurrence signature in lung squamous cell carcinoma. Homo sapiens

肿瘤复发预测

基因表达谱分析

Lung cancer remains the leading cause of cancer death worldwide. Overall 5-year survival is about 10-15% and despite curative intent surgery, treatment failure is primarily due to recurrent disease. C

NIAID Data Ecosystem40

Increase of blood CSF3R+ myeloid-derived suppressor cell predicts breast cancer recurrence [Immune]. Increase of blood CSF3R+ myeloid-derived suppressor cell predicts breast cancer recurrence [Immune]

肿瘤免疫微环境

肿瘤复发预测

Early detection of recurrence by using specific biomarkers is still a clinically unmet need although methodologies for monitoring tumor markers, cell-free DNA and circulating tumor cells have been est

NIAID Data Ecosystem30

TABLE 1 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence

资源简介：

相关数据集