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Synthetic-to-real: instance segmentation of clinical cluster cells with unlabeled synthetic training.
Zhao, Meng; Wang, Siyu; Shi, Fan; Jia, Chen; Sun, Xuguo; Chen, Shengyong.
Affiliation
  • Zhao M; Engineering Research Center of Learning-Based Intelligent System (Ministry of Education), The Key Laboratory of Computer Vision and System (Ministry of Education), and the School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
  • Wang S; Engineering Research Center of Learning-Based Intelligent System (Ministry of Education), The Key Laboratory of Computer Vision and System (Ministry of Education), and the School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
  • Shi F; Engineering Research Center of Learning-Based Intelligent System (Ministry of Education), The Key Laboratory of Computer Vision and System (Ministry of Education), and the School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
  • Jia C; Engineering Research Center of Learning-Based Intelligent System (Ministry of Education), The Key Laboratory of Computer Vision and System (Ministry of Education), and the School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
  • Sun X; School of Medical Laboratory, Tianjin Medical University, Tianjin 300204, China.
  • Chen S; Engineering Research Center of Learning-Based Intelligent System (Ministry of Education), The Key Laboratory of Computer Vision and System (Ministry of Education), and the School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Bioinformatics ; 38(Suppl 1): i53-i59, 2022 06 24.
Article de En | MEDLINE | ID: mdl-35758798
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Épanchement pleural / Algorithmes Type d'étude: Qualitative_research Limites: Humans Langue: En Journal: Bioinformatics Sujet du journal: INFORMATICA MEDICA Année: 2022 Type de document: Article Pays d'affiliation: Chine
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Épanchement pleural / Algorithmes Type d'étude: Qualitative_research Limites: Humans Langue: En Journal: Bioinformatics Sujet du journal: INFORMATICA MEDICA Année: 2022 Type de document: Article Pays d'affiliation: Chine