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Reviewed Medical Image Datasets:
1. NIH Clinical Center:
Chest X-Ray Dataset (ChestX-ray8): Contains over 100,000 frontal-view X-ray images of 30,805 unique patients with 14
disease labels…
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Radiological Society of North America (RSNA®)が作成した
X線画像から肺炎を特定するためデータセットかつコンペティション。
2,435のラベルデータが用意されている。
Classification問題
https://www.kaggle.com/c/rsna-pneumonia-detection-challenge
Datase…
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ChestX-ray14. The training set contains 86k images while the validation set has 25k X-rays.
![image](https://user-images.githubusercontent.com/73802219/101692593-c5fa3c00-3ab3-11eb-8718-957cd90ed88…
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Suggested by @jzazo
Paper: https://www.nature.com/articles/s41598-018-37638-9
Code: https://github.com/zhaoxuanma/Deeplearning-digital-pathology
Dataset: https://www.nature.com/articles/s41598-018…
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# Overview
### [ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases](https://arxiv.org/pdf/1705.02315v5.pd…
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Hello,
need help
i need to train on custom data
dataset was NIH chest xray dataset
The NIH Chest X-ray Dataset was introduced in ChestX-ray8 and later ChestX-ray14 by Wang et al.[1](https://githu…
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Hello! Do you have pretrained weights for 14 classifier? If so, could you please tell me about the normalization and size used?