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Learning 3D non-rigid deformation based on an unsupervised deep learning for PET/CT image registration., , , , , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10953 из SPIE Proceedings, стр. 109531X. SPIE, (2019)A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT Volumes., , и . Eng. Appl. Artif. Intell., (мая 2023)Abdominal Organs Segmentation Based on Multi-path Fully Convolutional Network and Random Forests., , и . IIMSS, том 98 из Smart Innovation, Systems and Technologies, стр. 208-215. Springer, (2018)Alternative Iterations Based Registration for Contrast-Enhanced Multiphase Liver CT Images., , , , , и . BMEI, стр. 1-5. IEEE, (2009)Liver Tumor Segmentation Based on Multi-Scale Candidate Generation and Fractal Residual Network., , , и . IEEE Access, (2019)Automatic 3D segmentation of CT images based on active contour models., и . CAD/Graphics, стр. 540-543. IEEE, (2009)Two stage residual CNN for texture denoising and structure enhancement on low dose CT image., , , , и . Comput. Methods Programs Biomed., (2020)Medical Image Compression Based on Vector Quantization with Variable Block Sizes in Wavelet Domain., , , , и . Comput. Intell. Neurosci., (2012)Improved Particle Swarm Optimization for Fuzzy Neural Network Traning., , , и . ICGEC, стр. 299-302. IEEE Computer Society, (2011)Computational Intelligence in Biomedical Science and Engineering., , , , и . Comput. Intell. Neurosci., (2012)