A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction
Abstract This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive detection of kidney rejection at an early stage, the proposed CAD system is based on the fusion of both imaging markers and clinica...
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| Main Authors: | , , , , , , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2019
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| Subjects: | |
| Online Access: | https://doaj.org/article/5122771f8eff417ead0e170207bac3a5 |
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