Artificial Intelligence in Radiation Therapy
First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Herausgegeben:Nguyen, Dan; Xing, Lei; Jiang, Steve
Artificial Intelligence in Radiation Therapy
First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Herausgegeben:Nguyen, Dan; Xing, Lei; Jiang, Steve
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- Produkterinnerung
This book constitutes the refereed proceedings of the First International Workshop on Connectomics in Artificial Intelligence in Radiation Therapy, AIRT 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.
The 20 full papers presented were carefully reviewed and selected from 24 submissions. The papers discuss the state of radiation therapy, the state of AI and related technologies, and hope to find a pathway to revolutionizing the field to ultimately improve cancer patient outcome and quality of life.
- Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support48,99 €
- Simulation and Synthesis in Medical Imaging37,99 €
- Computational Methods and Clinical Applications in Musculoskeletal Imaging37,99 €
- Machine Learning for Medical Image Reconstruction37,99 €
- Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures37,99 €
- Head and Neck Tumor Segmentation37,99 €
- Machine Learning in Medical Imaging38,99 €
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The 20 full papers presented were carefully reviewed and selected from 24 submissions. The papers discuss the state of radiation therapy, the state of AI and related technologies, and hope to find a pathway to revolutionizing the field to ultimately improve cancer patient outcome and quality of life.
- Produktdetails
- Lecture Notes in Computer Science 11850
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-030-32485-8
- 1st ed. 2019
- Seitenzahl: 184
- Erscheinungstermin: 18. Oktober 2019
- Englisch
- Abmessung: 235mm x 155mm x 11mm
- Gewicht: 290g
- ISBN-13: 9783030324858
- ISBN-10: 3030324850
- Artikelnr.: 57605595
- Lecture Notes in Computer Science 11850
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-030-32485-8
- 1st ed. 2019
- Seitenzahl: 184
- Erscheinungstermin: 18. Oktober 2019
- Englisch
- Abmessung: 235mm x 155mm x 11mm
- Gewicht: 290g
- ISBN-13: 9783030324858
- ISBN-10: 3030324850
- Artikelnr.: 57605595