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An approach to the diagnosis of lumbar disc herniation using deep learning models
32
Zitationen
10
Autoren
2023
Jahr
Abstract
Using YOLOv5x and the 550 augmented dataset, LDH can be detected with promising both in non-AUG and AUG dataset. By utilizing the most appropriate YOLO model, clinicians have a greater chance of diagnosing LDH early and preventing adverse effects for their patients.
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Autoren
Institutionen
- Asia University(TW)
- National Health Research Institutes(TW)
- National Taiwan University(TW)
- National Taiwan University Hospital(TW)
- University of Illinois Urbana-Champaign(US)
- National Central University(TW)
- China Medical University(TW)
- China Medical University Hospital(TW)
- Feng Chia University(TW)
- Soegijapranata Catholic University(ID)
- Universitas Budi Luhur(ID)