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Understanding and Interpreting Machine Learning in Medical Image Computing Applications : First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings / / edited by Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett Landman, M. Jorge Cardoso, Carlos A. Silva, Sergio Pereira, Raphael Meier



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Titolo: Understanding and Interpreting Machine Learning in Medical Image Computing Applications : First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings / / edited by Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett Landman, M. Jorge Cardoso, Carlos A. Silva, Sergio Pereira, Raphael Meier Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XVI, 149 p. 60 illus.)
Disciplina: 616.07540285
616.0757
Soggetto topico: Optical data processing
Artificial intelligence
Mathematical logic
Numerical analysis
Health informatics
Bioinformatics
Image Processing and Computer Vision
Artificial Intelligence
Mathematical Logic and Formal Languages
Numeric Computing
Health Informatics
Computational Biology/Bioinformatics
Persona (resp. second.): StoyanovDanail
TaylorZeike
KiaSeyed Mostafa
OguzIpek
ReyesMauricio
MartelAnne
Maier-HeinLena
MarquandAndre F
DuchesnayEdouard
LöfstedtTommy
LandmanBennett
CardosoM. Jorge
SilvaCarlos A
PereiraSergio
MeierRaphael
Note generali: Includes index.
Sommario/riassunto: This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fails, DLF 2018, and the First International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 4 full MLCN papers, the 6 full DLF papers, and the 6 full iMIMIC papers included in this volume were carefully reviewed and selected. The MLCN contributions develop state-of-the-art machine learning methods such as spatio-temporal Gaussian process analysis, stochastic variational inference, and deep learning for applications in Alzheimer's disease diagnosis and multi-site neuroimaging data analysis; the DLF papers evaluate the strengths and weaknesses of DL and identify the main challenges in the current state of the art and future directions; the iMIMIC papers cover a large range of topics in the field of interpretability of machine learning in the context of medical image analysis. .
Titolo autorizzato: Understanding and Interpreting Machine Learning in Medical Image Computing Applications  Visualizza cluster
ISBN: 3-030-02628-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910349394803321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 11038
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