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    Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network ... Read more

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  • Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

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    The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic.The 542 revised full papers presented were carefully reviewed and ... Read more

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  • Machine Learning in Medical Imaging

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    Series series Springer Nature Proceedings Computer Science
    This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic.The 68 papers presented in this volume were carefully reviewed and selected from 101 submissions. They focus on major trends and challenges in ... Read more

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    Series Book 6 - Springer Nature Proceedings Computer Science
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    Series Book 2 - Springer Nature Proceedings Computer Science
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    Series Book 4 - Springer Nature Proceedings Computer Science
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    Series Book 6 - Springer Nature Proceedings Computer Science
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