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资源简介：
Overview of BreaKHis data set.
应用场景：
创建时间：
2021-07-12
相关数据集
Histology types well separated by SVM+ResNet model for HINT20.
Accuracy is computed with respect to the confusion matrix in Fig 4 and expressed in percentage, together with the total number of samples for each class.
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Summary of clinical data.
ER: estrogen receptors, PR: progesterone receptors, NA: not available.
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Colorectal Cancer Histopathological Tissue Image Dataset：HMU-CRC-Clinical
This dataset is a collection of various histological tissue types from human colorectal cancer histology images. Specifically, all images have undergone strict quality control and were carefully selec
Figshare2025-05-06 更新30
Lobular carcinoma, NOS - Female, 85 - Tissue image [6260730021887131]
This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner
DataCite Commons2022-06-26 更新70
Invasive breast carcinoma of no special type - Female, 62 - Tissue image [619073001733161]
This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner
DataCite Commons2022-06-19 更新40
