Research map: Patient-Level Cross-validated nnU-Net for Multiclass Segmentation of Lung Parenchyma and Solid Adenocarcinoma on Thoracic CT

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  1. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries · Freddie Bray · 2024 · 26051 citations · Cited by this paper
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  19. FusionLungNet: Multi-scale fusion convolution with refinement network for lung CT image segmentation · Sadjad Rezvani · 2025 · 52 citations · Cited by this paper
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  23. Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models · Matteo Ferrante · 2022 · 43 citations · Cited by this paper
  24. Automatic segmentation of organs at risk and tumors in CT images of lung cancer from partially labelled datasets with a semi-supervised conditional nnU-Net · Guobin Zhang · 2021 · 32 citations · Cited by this paper
  25. Revisiting segmentation of lung tumors from CT images · Farhanaz Farheen · 2022 · 27 citations · Cited by this paper
  26. Impact of Interobserver Variability in Manual Segmentation of Non-Small Cell Lung Cancer (NSCLC) Applying Low-Rank Radiomic Representation on Computed Tomography · Michelle Hershman · 2021 · 24 citations · Cited by this paper
  27. Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation · Montserrat Carles · 2024 · 19 citations · Cited by this paper
  28. Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model · Yazdan Salimi · 2025 · 17 citations · Cited by this paper
  29. RRc-UNet 3D for lung tumor segmentation from CT scans of Non-Small Cell Lung Cancer patients · Van-Linh Le · 2023 · 13 citations · Cited by this paper
  30. HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent? · Gašper Podobnik · 2024 · 6 citations · Cited by this paper
  31. Segmentation Quality and Volumetric Accuracy in Medical Imaging · Zheyuan Zhang · 2024 · 1 citation · Cited by this paper

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