Lesion Segmentation in Surgical and Diagnostic Applications : MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18–22, 2022, Proceedings / / edited by Yiming Xiao, Guanyu Yang, Shuang Song

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Titolo:	Lesion Segmentation in Surgical and Diagnostic Applications : MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18–22, 2022, Proceedings / / edited by Yiming Xiao, Guanyu Yang, Shuang Song
Pubblicazione:	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione:	1st ed. 2023.
Descrizione fisica:	1 online resource (94 pages)
Disciplina:	616.0754
	616.07540285
Soggetto topico:	Image processing - Digital techniques
	Computer vision
	Software engineering
	Application software
	Machine learning
	Natural language processing (Computer science)
	Computer Imaging, Vision, Pattern Recognition and Graphics
	Software Engineering
	Computer and Information Systems Applications
	Machine Learning
	Natural Language Processing (NLP)
Persona (resp. second.):	XiaoYiming
	YangGuanyu
	SongShuang
Nota di bibliografia:	Includes bibliographical references and index.
Sommario/riassunto:	This book constitutes three challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore in September 2022. The peer-reviewed 10 papers included in this volume stem from the following three challenges: Kidney Parsing Challenge 2022: Multi-Structure Segmentation for Renal Cancer Treatment (KiPA 2022) The 2022 Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge (CuRIOUS-SEG 2022) The 2022 Mediastinal Lesion Analysis Challenge (MELA 2022).
Titolo autorizzato:	Lesion segmentation in surgical and diagnostic applications
ISBN:	3-031-27324-9
Formato:	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione:	Inglese
Record Nr.:	9910682589303321
Lo trovi qui:	Univ. Federico II
Opac:	Controlla la disponibilità qui

Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13648

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