数据链接：
官方服务：
资源简介：
Tumor location, type, and depth of invasion.
应用场景：
创建时间：
2017-03-11
相关数据集
Untitled Item
The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor ty
DataCite Commons2023-06-30 更新90
List of tumor (T) and non-tumor (N) samples and datasets used for model training and validation.
List of tumor (T) and non-tumor (N) samples and datasets used for model training and validation.
NIAID Data Ecosystem30
Advanced Endoscopic Imaging in Colonoscopy
The aim of the study is to evaluate the usefulness of high-tech endoscopy in clinical practice. The important elements of this evaluation are: * Evaluation of the character of neoplastic lesions in th
NIAID Data Ecosystem50
S1 Fig. Evaluation procedure and dataset division for tumor and MSI classifier models. S2 Fig. Tumor tissue probability and distribution per slide. S3 Fig. Datasets for train and test for the MSI classifier. S4 Fig. Comparing performances between the corresponding and cross tissue trained models. S5 Fig. Comparing performances between single-tissue and multi-tissue trained models. S6 Fig. Comparing performances between two-tissue and three-tissue trained models. S1 Table. Detailed model structure. S2 Table. Performance metrics.
S1 Fig. Evaluation procedure and dataset division for tumor and MSI classifier models. S2 Fig. Tumor tissue probability and distribution per slide. S3 Fig. Datasets for train and test for the MSI clas
NIAID Data Ecosystem30
