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Can I read Gastric Cancer Detection from Endoscopic Images Using Synthesis by GAN on EtoBox?
Gastric Cancer Detection from Endoscopic Images Using Synthesis by GAN by Teppei Kanayama; Yusuke Kurose; Kiyohito Tanaka; Kento Aida; Shin’ichi Satoh; Masaru Kitsuregawa; Tatsuya Harada is a computer science book available to read on EtoBox.
What is Gastric Cancer Detection from Endoscopic Images Using Synthesis by GAN about?
The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy.
Who reads Gastric Cancer Detection from Endoscopic Images Using Synthesis by GAN?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Teppei Kanayama; Yusuke Kurose; Kiyohito Tanaka; Kento Aida; Shin’ichi Satoh; Masaru Kitsuregawa; Tatsuya Harada
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2019
- Language
- EN
- ISBN
- 9783030322397
- Category
- computer science
- Subjects
- Medical, Engineering, Mathematics
- Updated
- 2026-03-25
More by Teppei Kanayama; Yusuke Kurose; Kiyohito Tanaka; Kento Aida; Shin’ichi Satoh; Masaru Kitsuregawa; Tatsuya Harada
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