mlsanityData to 14 Oct 2026

Open-source tool for Airway Segmentation in Computed Tomography using 2.5D Modified EfficientDet: Contribution to the ATM22 Challenge

arXiv 2209.15094 ↗First posted 29 Sep 2022eess.IV cs.CVcited by 2

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Abstract (arXiv)

Airway segmentation in computed tomography images can be used to analyze pulmonary diseases, however, manual segmentation is labor intensive and relies on expert knowledge. This manuscript details our contribution to MICCAI's 2022 Airway Tree Modelling challenge, a competition of fully automated methods for airway segmentation. We employed a previously developed deep learning architecture based on a modified EfficientDet (MEDSeg), training from scratch for binary airway segmentation using the provided annotations. Our method achieved 90.72 Dice in internal validation, 95.52 Dice on external validation, and 93.49 Dice in the final test phase, while not being specifically designed or tuned for airway segmentation. Open source code and a pip package for predictions with our model and trained weights are in https://github.com/MICLab-Unicamp/medseg.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 8 of its 14 references that are in the map. First posted on arXiv 29 Sep 2022.

Builds on

8 of 14 references.

References · 8

  1. 2015Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shiftcited by 7,005
  2. 2016Xception: Deep Learning with Depthwise Separable Convolutionscited by 2,332
  3. 2019EfficientDet: Scalable and Efficient Object Detectioncited by 1,020
  4. 2017Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentationscited by 620
  5. 2020Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentationcited by 35
  6. 2019AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networkscited by 32
  7. 2022BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embeddingcited by 16
  8. 2021FDA: Feature Decomposition and Aggregation for Robust Airway Segmentationcited by 12

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Cited by year

Citing papers per year: 2023: 2.

2 papers.

  1. 2023AeroPath: An airway segmentation benchmark dataset with challenging pathologycited by 10
  2. 2023Automatic segmentation of lung findings in CT and application to Long COVIDcited by 0