Welcome to our book review site go-pdf.online!

You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.

Sign up

Computer Vision – ECCV 2024
  • Language: en
  • Pages: 546

Computer Vision – ECCV 2024

None

Computer Vision – ECCV 2022
  • Language: en
  • Pages: 806

Computer Vision – ECCV 2022

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
  • Language: en
  • Pages: 802
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
  • Language: en
  • Pages: 831
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
  • Language: en
  • Pages: 844

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learnin...

Domain Adaptation and Representation Transfer
  • Language: en
  • Pages: 180

Domain Adaptation and Representation Transfer

This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023. The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
  • Language: en
  • Pages: 809

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; op...

Computer Vision – ECCV 2024
  • Language: en
  • Pages: 583

Computer Vision – ECCV 2024

None

Computer Vision – ECCV 2024
  • Language: en
  • Pages: 583

Computer Vision – ECCV 2024

None

Federated Learning for Internet of Medical Things
  • Language: en
  • Pages: 308

Federated Learning for Internet of Medical Things

  • Type: Book
  • -
  • Published: 2023-06-16
  • -
  • Publisher: CRC Press

This book intends to present emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It intends to build on the basics of the healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the book shifts towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that present effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in a simple manner. The book intends to c...