The following publications are possibly variants of this publication:
- Lymphoma segmentation from 3D PET-CT images using a deep evidential networkLing Huang, Su Ruan, Pierre Decazes, Thierry Denoeux. ijar, 149:39-60, 2022. [doi]
- Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategyHaigen Hu, Pierre Decazes, Pierre Vera, Hua Li 0003, Su Ruan. cars, 14(10):1715-1724, 2019. [doi]
- A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAsHaigen Hu, Chao Du, Pierre Decazes, Pierre Vera, Su Ruan. bibm 2019: 2413-2420 [doi]
- 3D automated lymphoma segmentation in PET images based on cellular automataPaul Desbordes, Caroline Petitjean, Su Ruan. ipta 2014: 23-28 [doi]
- A Background-based Data Enhancement Method for Lymphoma Segmentation in 3D PET ImagesHaigen Hu, Chao Du, Qiu Guan, Qianwei Zhou, Plerre Vera, Su Ruan. bibm 2019: 1194-1196 [doi]