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Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture.

, , , , , , and . Medical Image Anal., (2021)

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Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture., , , , and . CoRR, (2019)Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten., , , , and . Bildverarbeitung für die Medizin, page 339-344. Springer, (2022)GDL-FIRE ^4D : Deep Learning-Based Fast 4D CT Image Registration., , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 765-773. Springer, (2018)Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting., , , , , , , and . CoRR, (2019)Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images., , , and . CoRR, (2022)Abstract: Widening the Focus - Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies., , , and . Bildverarbeitung für die Medizin, page 253. Springer, (2021)Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction., , and . Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 1095109. SPIE, (2019)Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture., , , , , , and . Medical Image Anal., (2021)Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting., , , , , , , and . IEEE Trans. Biomed. Eng., 67 (2): 495-503 (2020)Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction., , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094902. SPIE, (2019)