{"product_id":"9783030336417","title":"Lecture Notes in Computer Science: International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings","description":"\u003ch1\u003eLecture Notes in Computer Science: International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings\u003c\/h1\u003e \u003ch2\u003eZhou, Luping; Heller, Nicholas; Shi, Yiyu; Xiao, Yiming; Sznitman, Raphael; Cheplygina, Veronika; Mateus, Diana; Trucco, Emanuele; Hu, X. Sharon; Chen, Danny; Chabanas, Matthieu; Rivaz, Hassan; Reinertsen, Ingerid\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book constitutes the refereed joint proceedings of the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2019, the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, HAL-MICCAI 2019, and the Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.\u003c\/p\u003e\n\n\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe 8 papers presented at LABELS 2019, the 5 papers presented at HAL-MICCAI 2019, and the 3 papers presented at CuRIOUS 2019 were carefully reviewed and selected from numerous submissions. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. The HAL-MICCAI papers cover a wide set of hardware applications inmedical problems, including medical image segmentation, electron tomography, pneumonia detection, etc. The CuRIOUS papers provide a snapshot of the current progress in the field through extended discussions and provide researchers an opportunity to characterize their image registration methods on newly released standardized datasets of iUS-guided brain tumor resection.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2019-11-21\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030336417\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-33642-4\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 154\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":44806057951372,"sku":"9783030336417","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030336417.jpg?v=1774017445","url":"https:\/\/lateknightbooks.com\/products\/9783030336417","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}