Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held . (Lecture Notes in Computer Science)
8 Angebote vergleichen

Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
9783319469768,3319469762,deep,learning,data,labeling,medical, A digital copy of "Deep Learning and Data Labeling for Medical Applications" by Gustavo Carneiro. Download is immediately available upon purchase! eBook, Format: VitalSource. Type: . Copying: Allowed, .2Â.36 selections may be copied every 2Â.365 days. Printable: Allowed, .2Â.36 prints for 2Â.365 days. Expires: No Expiration. Read Aloud?: Allowed. Sharing: Not Allowed. Software: Online: No additional software required Offline: VitalSource Bookshelf. Shipping to USA only!

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, 電子書下載, 免費送貨。.
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., Kindle Edition, 版: 1st ed. 2016, 格式: Kindle eBook, 標籤: Springer, Springer, 產品組: eBooks, 出版: 2016-10-07, 發佈日期: 2016-10-07, 工作室: Springer.

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, الكتاب الإليكتروني للتحميل, الشحن مجاناً.
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., Kindle Edition, الطبعة: 1st ed. 2016, تنسيق: Kindle eBook, التسمية: Springer, Springer, مجموعة المنتجات: eBooks, ونشرت: 2016-10-07, تاريخ الإصدار: 2016-10-07, ستوديو: Springer.

Lieferung aus: Mexiko, Lagernd, zzgl. Versandkosten.
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. eBook.

Lieferung aus: Deutschland, Versandkostenfrei.
Deep Learning and Data Labeling for Medical Applications: 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. Englisch, Ebook.

Lieferung aus: Kanada, in-stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen

Lieferung aus: Australien, in-stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen

Lieferung aus: Deutschland, In magazzino, più spese di spedizione.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen