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Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology

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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) Loot Price: R1,554
Discovery Miles 15 540
Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, KiTS 2021, Held in Conjunction with MICCAI 2021, Strasbourg,...

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, Christopher Weight

Series: Lecture Notes in Computer Science, 13168

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Loot Price R1,554 Discovery Miles 15 540 | Repayment Terms: R146 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 13168
Release date: March 2022
First published: 2022
Editors: Nicholas Heller • Fabian Isensee • Darya Trofimova • Resha Tejpaul • Nikolaos Papanikolopoulos • Christopher Weight
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 165
Edition: 1st ed. 2022
ISBN-13: 978-3-03-098384-0
Categories: Books > Medicine > Clinical & internal medicine > Urology & urogenital medicine
Books > Medicine > Other branches of medicine > Medical imaging > General
Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General
LSN: 3-03-098384-6
Barcode: 9783030983840

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