Clinical Artificial Intelligence Applications in Radiology : Chest and Abdomen - 22/10/21
Resumen |
Organ segmentation, chest radiograph classification, and lung and liver nodule detections are some of the popular artificial intelligence (AI) tasks in chest and abdominal radiology due to the wide availability of public datasets. AI algorithms have achieved performance comparable to humans in less time for several organ segmentation tasks, and some lesion detection and classification tasks. This article introduces the current published articles of AI applied to chest and abdominal radiology, including organ segmentation, lesion detection, classification, and predicting prognosis.
El texto completo de este artículo está disponible en PDF.Keywords : Deep learning, Artificial intelligence, Radiology, Chest, Thorax, Abdomen, Pelvic
Esquema
| Funding: Not applicable. |
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| Conflicts of interest: Author R.M. Summers receives royalties from iCAD, ScanMed, Philips, Translation Holdings, and Ping An. His laboratory received research support from Ping An and NVIDIA. |
Vol 59 - N° 6
P. 987-1002 - novembre 2021 Regresar al número
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Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
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