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Dataset Card for btcv

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This is a FiftyOne dataset with 30 video samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/BTCV-CT-as-video-MedSAM2-dataset")

# Launch the App
session = fo.launch_app(dataset)

Dataset Details

Dataset Description

This dataset is the "Beyond the Cranial Vault" (BTCV) dataset used by Medical-SAM2 paper. Med-SAM2 fine-tunes the Segment Anything Model 2 on to accurately segment CT-scan imagery. The paper "adopts the philosophy of taking medical images as videos"; so, the images have been converted into videos, and maybe easily resampled into frames using dataset.to_frames(sample_frames=True).

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Dataset Creation

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Source Data

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Bias, Risks, and Limitations

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Recommendations

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