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Showing 1 - 2 of
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Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery - First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings (Paperback, 1st ed. 2022)
Siva Teja Kakileti, Maria Gabrani, Geetha Manjunath, Michal Rosen-Zvi, Nathaniel Braman, …
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R1,656
Discovery Miles 16 560
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the First
Workshop on Artificial Intelligence over Infrared Images for
Medical Applications, AIIIMA 2022, and the First Workshop on
Medical Image Assisted Biomarker Discovery, MIABID 2022, both held
in conjunction with MICCAI 2022, Singapore, during September 18 and
22, 2022. For MIABID 2022, 7 papers from 10 submissions were
accepted for publication. This workshop created a forum to discuss
this specific sub-topic at MICCAI and promote this novel area of
research among the research community that has the potential to
hugely impact our society. For AIIIMA 2022, 10 papers from 15
submissions were accepted for publication. The first workshop on
AIIIMA aimed to create a forum to discuss this specific sub-topic
of AI over Infrared Images for Medical Applications at MICCAI and
promote this novel area of research that has the potential to
hugely impact our society, among the research community.
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Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, KiTS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings (Paperback, 1st ed. 2022)
Nicholas Heller, Fabian Isensee, Darya Trofimova, Resha Tejpaul, Nikolaos Papanikolopoulos, …
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R1,647
Discovery Miles 16 470
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Ships in 10 - 15 working days
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This book constitutes the Second International Challenge on Kidney
and Kidney Tumor Segmentation, KiTS 2021, which was held in
conjunction with the 24th International Conference on Medical Image
Computing and Computer-Assisted Intervention, MICCAI 2021. The
challenge took place virtually on September 27, 2021, due to the
COVID-19 pandemic. The 21 contributions presented were carefully
reviewed and selected from 29 submissions. This challenge aims to
develop the best system for automatic semantic segmentation of
renal tumors and surrounding anatomy.
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