@article{borkowski2019lung, title={Lung and colon cancer histopathological image dataset (lc25000)}, author={Borkowski, Andrew A and Bui, Marilyn M and Thomas, L Brannon and Wilson, Catherine P and DeLand, Lauren A and Mastorides, Stephen M}, journal={arXiv preprint arXiv:1912.12142}, ye...
Lung and Colon Cancer Histopathological Image Dataset (LC25000) https://arxiv.org/abs/1912.12142v1 KonohaYuminaga 1枚 CC0 计算机视觉 3 40 2022-04-19 详情 相关项目 评论(0) 创建项目 数据集介绍 文件经过初步整理,以8比2的比例随机划分了训练集标签和验证集标签(不一定保证划分合理,请再用脚本自行划...
we created an image dataset (LC25000) with 25,000 color images in 5 classes. Each class contains 5,000 images of the following histologic entities: colon adenocarcinoma, benign colonic tissue, lung adenocarcinoma, lung squamous cell carcinoma, and benign lung tissue. All images are de-identified...
The LC25000 Dataset is a widely used histology image dataset. The samples in the dataset contain highly correlated images, thus resulting in data leakage if models are both trained and evaluated on it. This repository contains (1) the cleaned dataset with highly correlated images grouped together...
("/home/nico/GitHub/Active-FSL/Active_FSL/LC25000_pickle", train=True, transform=moco_transform) ### Load breakhis dataset ### # data_test = BREAKHIS_PICKLE("/home/jingyi/pickle_breakhis/breakhis_pickle", train=False, transform=test_transform) # data_unlabeled = BREAKHIS_PICKLE("/home/jin...