Chao Zuo | Akateeminen Kirjakauppa

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DATA AUGMENTATION, LABELLING, AND IMPERFECTIONS - THIRD MICCAI WORKSHOP, DALI 2023, HELD IN CONJUNCTION WITH MICCAI 2023, VANCOU

Yuan Xue; Chen Chen; Chao Chen; Lianrui Zuo; Yihao Liu
Springer International Publishing AG (2024)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja

49,60 €

SIXTH INTERNATIONAL CONFERENCE ON OPTICAL AND PHOTONIC ENGINEERING (ICOPEN 2018)

Yingjie Yu; Chao Zuo; Kemao Qian
SPIE Press (2018)
Saatavuus: Hankintapalvelu
Pehmeäkantinen kirja

344,60 €

BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS : 13TH INTERNATIONAL CONFERENCE, BIC-TA 2018, BEIJING, CHINA, NOVEMBER 2–4, 20

Jianyong Qiao (ed.); Xinchao Zhao (ed.); Linqiang Pan (ed.); Xingquan Zuo (ed.); Xingyi Zhang (ed.); Qingfu Zhang (ed.)
Springer (2018)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja

97,90 €

BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS : 13TH INTERNATIONAL CONFERENCE, BIC-TA 2018, BEIJING, CHINA, NOVEMBER 2–4, 20

Jianyong Qiao (ed.); Xinchao Zhao (ed.); Linqiang Pan (ed.); Xingquan Zuo (ed.); Xingyi Zhang (ed.); Qingfu Zhang (ed.)
Springer (2018)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja

49,60 €

Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancou

Yuan Xue, Chen Chen, Chao Chen, Lianrui Zuo, Yihao Liu

49,60 €

Springer International Publishing AG
Sivumäärä: 168 sivua
Asu: Pehmeäkantinen kirja
Painos: 2024 ed.
Julkaisuvuosi: 2024, 04.07.2024 (lisätietoa)
Kieli: Englanti

This LNCS conference volume constitutes the proceedings of the 3rd International Workshop on

Data Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th International

Conference on Medical Image Computing and Computer Assisted Intervention

(MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions.

The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.

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