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Published April 15, 2022 | Version v1.0
Dataset Open

MELA Dataset: A Benchmark for Mediastinal Lesion Analysis (Training Set Part 3)

Authors/Creators

  • 1. Wuhan University
  • 2. Shanghai Jiao Tong University
  • 3. Dianei Technology Co., Ltd.
  • 4. Shanghai Pulmonary Hospital

Description

MELA dataset is a benchmark for developing algorithms on mediastinal lesion analysis. We hope this large-scale dataset could facilitate the research and application of automatic mediastinal lesion detection and diagnosis. 

MELA dataset contains 1100 CT scans collected from patients with one or more lesions in the mediastinum. The MELA dataset is split into a subset of 770 CT scans for training, a subset of 110 CT scans for validation, and a test set of 220 CT scans for evaluation.

Due to the size limit of zenodo.org, we split the MELA training set into 3 parts; this is the Training Set Part 3 of MELA dataset, including 250 CTs. Files include:

  1. Train5.zip: 130 CTs in NII format (nii.gz).
  2. Train6.zip: 120 CTs in NII format (nii.gz).

Files

Train5.zip

Files (34.9 GB)

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md5:f7e1f09b0087a2520da41e5433959b3c
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md5:d4f8d9cb8678a0ad185d9230925d79b1
17.2 GB Preview Download