Page 78 - AIH-2-2
P. 78

Artificial Intelligence in Health                         Improved liver tumor segmentation with dense networks



               Proceedings of the IEEE Conference on Computer Vision and   Forest-based Candidate Filtering. In:  ArXiv  Preprint
               Pattern Recognition. 2018. p. 6596-6605.           ArXiv170600842; 2017.
            35.  Milletari F, Navab N, Ahmadi SA. V-net: Fully Convolutional   40.  Bellver  M,  Maninis  KK,  Pont-Tuset  J,  Giró-i-Nieto  X,
               Neural Networks for Volumetric Medical Image       Torres   J, Van Gool L. Detection-Aided Liver Lesion
               Segmentation. In: 2016 Fourth International Conference on   Segmentation Using Deep Learning. In:  ArXiv Preprint
               3D Vision (3DV). United States: IEEE; 2016. p. 565-571.  ArXiv171111069; 2017.
            36.  Bilic P, Christ P, Li HB, et al. The Liver Tumor Segmentation   41.  Chlebus G, Schenk A, Moltz JH, van Ginneken B, Hahn  HK,
               Benchmark (LiTS). Med Image Anal. 2023;84:102680.  Meine H. Automatic liver tumor segmentation in CT with
               doi: 10.1016/j.media.2022.102680                   fully convolutional neural networks and object-based
                                                                  postprocessing. Sci Rep. 2018;8(1):15497.
            37.  Paszke A, Gross S, Chintala S, et al. Automatic Differentiation
               in Pytorch. In: Conference on Neural Information Processing      doi: 10.1038/s41598-018-33860-7
               Systems; 2017.                                  42.  Chen X, Zhang R, Yan P. Feature Fusion Encoder Decoder
            38.  Kingma DP, Ba J. Adam: A  Method for Stochastic   Network for Automatic Liver Lesion Segmentation. In: 2019
               Optimization. In: ArXiv Preprint ArXiv14126980; 2014.  IEEE 16th International Symposium on Biomedical Imaging
                                                                  (ISBI 2019); 2019. p. 430-433.
            39.  Chlebus G, Meine H, Moltz JH, Schenk A. Neural Network-
               based Automatic Liver Tumor Segmentation with Random   doi: 10.1109/ISBI.2019.8759555























































            Volume 2 Issue 2 (2025)                         72                               doi: 10.36922/aih.5001
   73   74   75   76   77   78   79   80   81   82   83