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A deep network ensemble for segmentation of cervical spinal cord and neural foramina.

, , , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)

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Anita Iendra

Oleksandr Iena

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Li Li

 

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Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets., , , , , , , , , и 4 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Multi-resolution deep network ensembles for cervical intervertebral disc segmentation are biased by trainer., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)Joint deep shape and appearance learning: application to optic pathway glioma segmentation., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101341O. SPIE, (2017)A deep network ensemble for segmentation of cervical spinal cord and neural foramina., , , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)