Real-time robust liver and gallbladder segmentation during laparoscopic cholecystectomy using convolutional neural networks: an analysis
Aim: Images in different laparoscopic cholecystectomy datasets are acquired using various camera models, parameters, and settings, with the annotation methods varying by institution. These factors result in inconsistent inference performance of the network model. This study aims to identify the opti...
| الحاوية / القاعدة: | Artificial Intelligence Surgery |
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| المؤلف الرئيسي: | |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
OAE Publishing Inc.
2024
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214400343&doi=10.20517%2fais.2024.30&partnerID=40&md5=825857d41e47c2d11a5ae1b3c7fcc990 |