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Oct 24, 2023
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Oct 15, 2024
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FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology
Paper • 2011.06033 • Published • 1 -
Code-free development and deployment of deep segmentation models for digital pathology
Paper • 2111.08430 • Published -
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images
Paper • 2112.03455 • Published -
Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides
Paper • 2311.13261 • Published • 1
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Oct 15, 2024
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Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting
Paper • 2305.14351 • Published • 1 -
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
Paper • 2304.08881 • Published -
Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation
Paper • 2112.11541 • Published -
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
Paper • 2102.06515 • Published
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Oct 15, 2024
-
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting
Paper • 2305.14351 • Published • 1 -
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
Paper • 2304.08881 • Published -
Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation
Paper • 2112.11541 • Published -
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
Paper • 2102.06515 • Published
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Oct 15, 2024
-
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology
Paper • 2011.06033 • Published • 1 -
Code-free development and deployment of deep segmentation models for digital pathology
Paper • 2111.08430 • Published -
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images
Paper • 2112.03455 • Published -
Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides
Paper • 2311.13261 • Published • 1
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