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Datasets:
Genius-Society
/
HEp2

Tasks:
Image Classification
Modalities:
Image
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
biology
medical
License:
Dataset card Viewer Files
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Update README.md

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README.md CHANGED
@@ -24,7 +24,6 @@ from datasets import load_dataset
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  ds = load_dataset("Genius-Society/HEp2", split="train")
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  labels = ds.features["label"].names
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-
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  for item in ds:
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  print("image: ", item["image"])
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  print("label name: " + labels[item["label"]])
@@ -33,6 +32,6 @@ for item in ds:
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  ## Mirror
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  <https://www.modelscope.cn/datasets/Genius-Society/HEp2>
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- ## Reference
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  [1] [Chapter III ‐ Classifying Cell Images Using Deep Learning Models](https://github.com/Genius-Society/medical_image_computing/blob/hep2/README.md)<br>
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  [2] <a href="https://arxiv.org/pdf/1504.02531v1.pdf">HEp-2 Cell Image Classification with Deep Convolutional Neural Networks</a>
 
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  ds = load_dataset("Genius-Society/HEp2", split="train")
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  labels = ds.features["label"].names
 
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  for item in ds:
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  print("image: ", item["image"])
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  print("label name: " + labels[item["label"]])
 
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  ## Mirror
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  <https://www.modelscope.cn/datasets/Genius-Society/HEp2>
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+ ## References
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  [1] [Chapter III ‐ Classifying Cell Images Using Deep Learning Models](https://github.com/Genius-Society/medical_image_computing/blob/hep2/README.md)<br>
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  [2] <a href="https://arxiv.org/pdf/1504.02531v1.pdf">HEp-2 Cell Image Classification with Deep Convolutional Neural Networks</a>