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SNM0312
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US-Liver

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label US-Liver@91edb5da914a3f5937886e9edceea994f2276b59
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2092, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1995, in cast_array_to_feature
                  return feature.cast_storage(array)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1169, in cast_storage
                  [self._strval2int(label) if label is not None else None for label in storage.to_pylist()]
                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1098, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label US-Liver@91edb5da914a3f5937886e9edceea994f2276b59

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Dataset Introduction

This open-source release contains B-mode ultrasound liver images collected exclusively at the Third Affiliated Hospital of Sun Yat-sen University

Ethical Certification Date: May 15, 2023
Certifying Institution: The Third Affiliated Hospital of Sun Yat-sen University

We provide the complete training & inference codebase for HSQformer (Hierarchical Sparse Query Transformer-assisted Ultrasound Screening).

GitHub: https://github.com/Asunatan/HSQformer

Citation

If you use this dataset in your research, please cite:

@article{lu2025ai,
  title={AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening},
  author={Lu, Rui-Fang and She, Chao-Yin and He, Dan-Ni and Cheng, Mei-Qing and Wang, Ying and Huang, Hui and Lin, Ya-Dan and Lv, Jia-Yi and Qin, Si and Liu, Ze-Zhi and others},
  journal={npj Digital Medicine},
  volume={8},
  number={1},
  pages={500},
  year={2025},
  publisher={Nature Publishing Group UK London}
}
@misc{she2025retrospectivesystematicstudyhierarchical,
      title={A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma}, 
      author={Chaoyin She and Ruifang Lu and Danni He and Jiayi Lv and Yadan Lin and Meiqing Cheng and Hui Huang and Lida Chen and Wei Wang and Qinghua Huang},
      year={2025},
      eprint={2502.03772},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.03772}, 
}
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