1.

Record Nr.

UNICASRMS0050548

Autore

Barker, Graeme

Titolo

Farming the desert : the UNESCO Libyan valleys archaeological survey / Graeme Barker ... \et al.!

Pubbl/distr/stampa

Paris, : UNESCO

Tripoli, : Department of antiquities

London, : Society of Libyan studies

Descrizione fisica

2 v. ; 28 cm.

Lingua di pubblicazione

Inglese

Francese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910682589303321

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

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

9783031273247

3031273249

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (94 pages)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 13648

Disciplina

616.0754

616.07540285

Soggetti

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)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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).