| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8821082 | Academic Radiology | 2017 | 9 Pages |
Abstract
Automated systems, such as the one proposed, show promising new results and demonstrate new capabilities that, in the future, will be able to provide decision and treatment support for radiologists and oncologists, toward more efficient detection and treatment of cancer.
Keywords
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Authors
Avi MSc, Eyal MD, Idit MSc, Noa BSc, Stephen P. MD, Eli MD, Michal Marianne MD, Hayit PhD,