Interpretation of Immunofluorescence Slides by Deep Learning Techniques: Anti-nuclear Antibodies Case Study
In: Advances in Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, Jg. 1864 (2023), S. 110-122
Online
E-Book
Zugriff:
Titel: |
Interpretation of Immunofluorescence Slides by Deep Learning Techniques: Anti-nuclear Antibodies Case Study
|
---|---|
Autor/in / Beteiligte Person: | Khlelfa, Oumar ; Yahyaoui, Aymen ; Azaiz, Mouna Ben ; Ncibi, Anwer ; Gazouani, Ezzedine ; Ammar, Adel ; Boulila, Wadii ; Filipe, Joaquim [Ed.]ial Board Member ; Ghosh, Ashish [Ed.]ial Board Member ; Prates, Raquel Oliveira [Ed.]ial Board Member ; Zhou, Lizhu [Ed.]ial Board Member ; Nguyen, Ngoc Thanh [Ed.] ; Botzheim, János [Ed.] ; Gulyás, László [Ed.] ; Nunez, Manuel [Ed.] ; Treur, Jan [Ed.] ; Vossen, Gottfried [Ed.] ; Kozierkiewicz, Adrianna [Ed.] |
Link: | |
Zeitschrift: | Advances in Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, Jg. 1864 (2023), S. 110-122 |
Veröffentlichung: | 2023 |
Medientyp: | E-Book |
ISBN: | 978-3-031-41773-3 (print) ; 978-3-031-41774-0 (print) |
DOI: | 10.1007/978-3-031-41774-0_9 |
Sonstiges: |
|