Cardoso jaime (60 Ergebnisse)

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,350grams, ISBN:1589060466.

Paperback. Zustand: Good. This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Softcover. 71 p. Good condition. The reading pages are clean and unmarked. Slight signs of storage and use. Retired library copy with corresponding labelling. Otherwise a good copy. 9781589060463 Sprache: Englisch Gewicht in Gramm: 281.

Paperback. Zustand: New. This book constitutes the refereed proceedings of the 8th International Workshop, iMIMIC 2025, held in Conjunction with MICCAI 2025, in Daejeon, South Korea, on September 27, 2025.The 15 full papers included in this volume were carefully reviewed and selected from 22 submissions. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention.…

Zustand: New.

Zustand: New.

tapa blanda. Zustand: Bien. Civilización, progreso y cultura.(008) Revista de Occidente. Madrid. 2007. 20 cm. Encuadernación en tapa blanda de editorial. Cubierta deslucida. (=3552297=) JW51.

tapa blanda. Zustand: Bien. Civilización, progreso y cultura.(008) Revista de Occidente. Madrid. 2007. 20 cm. Encuadernación en tapa blanda de editorial ilustrada. Ejemplar deslucido. (=3580710=) HI19.

Zustand: New.

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Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Brand New. 172 pages. 6.14x0.37x9.21 inches. In Stock.

Zustand: NEW.

Paperback. Zustand: Brand New. 316 pages. 9.25x6.10x0.72 inches. In Stock.

Zustand: New.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020.The 8 full papers presented at iMIMIC 2020, 11 full papers to MIL3ID 2020, and the 10 full papers presented at LABELS 2020 were carefully reviewed and selected from 16 submissions to iMIMIC, 28 to MIL3ID, and 12 submissions to LABELS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. MIL3ID deals with best practices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods;active learning;transfer learning;semi-supervised learning; and modeling of label uncertainty.The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 8th International Workshop, iMIMIC 2025, held in Conjunction with MICCAI 2025, in Daejeon, South Korea, on September 27, 2025.The 15 full papers included in this volume were carefully reviewed and selected from 22 submissions. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention.…

Zustand: New.

Paperback. Zustand: Brand New. 2015 edition. 772 pages. 9.25x6.10x1.74 inches. In Stock.

Zustand: New.