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A survey on indoor RGB-D semantic segmentation: from hand-crafted features to deep convolutional neural networks., and . Multimedia Tools Appl., 79 (7-8): 4499-4524 (2020)Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images., and . CoRR, (2019)Semantic Segmentation of RGB-D Images Using 3D and Local Neighbouring Features., and . DICTA, page 1-7. IEEE, (2015)Lightweight residual densely connected convolutional neural network., and . Multim. Tools Appl., 79 (35-36): 25571-25588 (2020)Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound., , , , , , , and . CoRR, (2022)TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 18 (7): 1193-1200 (July 2023)Coarse label refinement for improving prostate cancer detection in ultrasound imaging., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 17 (5): 841-847 (2022)Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data., , , , , , , , and . CoRR, (2024)Uncertainty estimation for margin detection in cancer surgery using mass spectrometry., , , , , , , , , and 1 other author(s). Int. J. Comput. Assist. Radiol. Surg., 17 (12): 2305-2313 (2022)Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer., , and . CoRR, (2020)