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Large-scale multi-center CT and MRI segmentation of pancreas with deep learning
49
Zitationen
38
Autoren
2024
Jahr
Abstract
of 0.91, 0.84, and 0.85 for CT, T1 W, and T2 W, respectively. We found moderate inter-observer (0.624 and 0.638 for T1 W and T2 W MRI, respectively) and high intra-observer agreement scores. All MRI data is made available at https://osf.io/kysnj/. Our source code is available at https://github.com/NUBagciLab/PaNSegNet.
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Autoren
- Zheyuan Zhang
- Elif Keleş
- Görkem Durak
- Yavuz Taktak
- Onkar Susladkar
- Vandan Gorade
- Debesh Jha
- Asli C. Ormeci
- Alpay Medetalibeyoğlu
- Lanhong Yao
- Bin Wang
- Ilkin Isler
- Linkai Peng
- Hongyi Pan
- Camila Lopes Vendrami
- Amir Bourhani
- Yury Velichko
- Boqing Gong
- Concetto Spampinato
- Ayis Pyrros
- Pallavi Tiwari
- Derk C.F. Klatte
- Megan Engels
- Sanne Hoogenboom
- Candice W. Bolan
- Emil Agarunov
- Nassier Harfouch
- Chenchan Huang
- Marco J. Bruno
- Ivo G. Schoots
- Rajesh N. Keswani
- Frank H. Miller
- Tamas A. Gonda
- Cemal Yazıcı
- Temel Tirkes
- Barış Türkbey
- Michael B. Wallace
- Ulaş Bağcı
Institutionen
- Northwestern University(US)
- Intel (United States)(US)
- Istanbul University(TR)
- University of Florida(US)
- Google (United States)(US)
- University of Catania(IT)
- Chicago Department of Public Health(US)
- University of Illinois Chicago(US)
- University of Illinois Hospital & Health Sciences System(US)
- University of Wisconsin–Madison(US)
- University of Amsterdam(NL)
- WinnMed(US)
- Mayo Clinic in Florida(US)
- New York University(US)
- Erasmus MC(NL)
- Erasmus University Rotterdam(NL)
- Northwestern University(PH)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis(US)
- National Institutes of Health(US)
- National Cancer Institute(US)
- Jacksonville College(US)