MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation
Paper
• 2509.21265 • Published
Dataset Viewer
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 MedVSR_dataset@bfed6f032a1dbfa38c529f692404f5f83ac5432a
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 MedVSR_dataset@bfed6f032a1dbfa38c529f692404f5f83ac5432aNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MedVSR Dataset
MedVSR is a framework and dataset collection tailored for medical video super-resolution (VSR). It addresses unique challenges in clinical medical videos, such as camera shake, noise, and abrupt frame transitions, which often lead to alignment errors in standard VSR models.
This repository contains preprocessed versions of the following medical datasets used in the study:
- HyperKvasir: Endoscopy images and videos.
- LDPolyp: A large-scale dataset for polyp detection and classification.
- EndoVis18: Data from the Endoscopic Vision Challenge.
These datasets cover various medical scenarios, including endoscopy and cataract surgeries, and are used to evaluate the MedVSR model's ability to selectively propagate consistent features and enhance tissue structures.
Dataset Preparation
According to the official repository, users should download the data from this Hugging Face repository and update the paths in the configuration files (e.g., options/medvsr_train.yml) to point to the extracted folders.
Citation
If you find this dataset or the MedVSR framework useful for your research, please cite the following paper:
@inproceedings{liu2025medvsr,
title = {MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation},
author = {Liu, Xinyu and Sun, Guolei and Wang, Cheng and Yuan, Yixuan and Konukoglu, Ender},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
year = {2025}
}
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