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DC Field | Value | Language |
---|---|---|
dc.contributor | Zhou, S. Kevin | - |
dc.contributor | Luo, Jiebo | - |
dc.contributor.author | Liao, Haofu | - |
dc.date.accessioned | 2024-01-24T07:04:11Z | - |
dc.date.available | 2024-01-24T07:04:11Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/9131 | - |
dc.description.abstract | Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. | vi |
dc.format.extent | 246ps | vi |
dc.language.iso | en | vi |
dc.publisher | Academic Press | vi |
dc.subject | Diagnostic imaging | vi |
dc.subject | Computer networks | vi |
dc.subject | Medical informatics | vi |
dc.subject | Tin học y tế | vi |
dc.subject | Mạng máy tính | vi |
dc.title | Deep network design for medical image computing : principles and applications | vi |
dc.type | Sách/Book | vi |
Appears in Collections | Công tác xã hội |
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