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LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation

Research article (Biomedical Signal Processing and Control, 2021) · cited 92× · AI/ML
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LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation

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LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/lncds-a-2d-3d-cascaded-cnn-approach-for-lung-nodule-classification-detection-and-segmentation
MLA “LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lncds-a-2d-3d-cascaded-cnn-approach-for-lung-nodule-classification-detection-and-segmentation.
BibTeX @misc{4ortxyz_lncds-a-2d-3d-cascaded-cnn-approach-for-lung-nodule-classification-detection-and-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/lncds-a-2d-3d-cascaded-cnn-approach-for-lung-nodule-classification-detection-and-segmentation}, note = {Accessed: 2026-05-24}}
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