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. 2020 Aug 1;20(15):4301. doi: 10.3390/s20154301

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© 2020 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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The result of detecting pulmonary nodules by different methods on another example image in LUNA16 dataset. Red circle represents the ground truth region of nodules, blue circles represent the correct estimation of pulmonary nodules, green circles represent the over-detected nodules, while yellow circles denote the nodules being omitted. (a–i) are: ground truth nodule in the given chest CT image, nodule detected by 3D-FCN, MR-CNN, 3D-UNET, PRN-HSN, DCNN, CLAHE-SVM, MASK-RCNN and our proposed method.

The result of detecting pulmonary nodules by different methods on another example image in LUNA16 dataset. Red circle represents the ground truth region of nodules, blue circles represent the correct estimation of pulmonary nodules, green circles represent the over-detected nodules, while yellow circles denote the nodules being omitted. (a–i) are: ground truth nodule in the given chest CT image, nodule detected by 3D-FCN, MR-CNN, 3D-UNET, PRN-HSN, DCNN, CLAHE-SVM, MASK-RCNN and our proposed method.