| |
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910483918503321 |
|
|
Titolo |
Artificial Intelligence in Medicine : 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings / / edited by Allan Tucker, Pedro Henriques Abreu, Jaime Cardoso, Pedro Pereira Rodrigues, David Riaño |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2021.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XX, 505 p. 145 illus., 122 illus. in color.) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 12721 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Artificial intelligence |
Computer engineering |
Computer networks |
Application software |
Computers |
Image processing - Digital techniques |
Computer vision |
Computer science - Mathematics |
Mathematical statistics |
Artificial Intelligence |
Computer Engineering and Networks |
Computer and Information Systems Applications |
Computing Milieux |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Probability and Statistics in Computer Science |
Intel·ligència artificial |
Enginyeria de programari |
Xarxes d'ordinadors |
Programari d'aplicació |
Ordinadors |
Visió per ordinador |
Processament digital d'imatges |
Informàtica |
Estadística matemàtica |
Llibres electrònics |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
Image Analysis -- Predictive Modelling -- Temporal Data Analysis -- Unsupervised Learning -- Planning and Decision Support -- Deep Learning -- Natural Language Processing -- Knowledge Representation and Rule Mining. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, held as a virtual event, in June 2021. The 28 full papers presented together with 30 short papers were selected from 138 submissions. The papers are grouped in topical sections on image analysis; predictive modelling; temporal data analysis; unsupervised learning; planning and decision support; deep learning; natural language processing; and knowledge representation and rule mining. |
|
|
|
|
|
|
|
| |