Solving the missing cone problem by deep learning

被引：9

作者：

Dong, Dashan ^{[1
,2
,3
]}

Shi, Kebin ^{[1
,2
,3
,4
]}

机构：

[1] Peking Univ, State Key Lab Mesoscop Phys, Beijing, Peoples R China

[2] Peking Univ, Frontiers Sci Ctr Nanooptoelect, Sch Phys, Beijing, Peoples R China

[3] Shanxi Univ, Collaborat Innovat Ctr Extreme Opt, Taiyuan, Shanxi, Peoples R China

[4] Peking Univ, Collaborat Innovat Ctr Quantum Matter, Beijing, Peoples R China

来源：

ADVANCED PHOTONICS | 2020年 / 2卷 / 02期

关键词：

Tomography; Objectives; 3D modeling; Blood; Image segmentation; Optical tomography; Photonics; Scattering; Computed tomography; X-ray optics;

D O I：

10.1117/1.AP.2.2.020501

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A commentary on the article "Three-dimensional tomography of red blood cells using deep learning" by J. Lim, A. Ayoub, and D. Psaltis, Adv. Photonics Volume 2, Issue 2, doi: 10.1117/1.AP.2.2.026001.

引用

页数：2

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Psaltis, Demetri .

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LIGHT-SCIENCE & APPLICATIONS, 2017, 6 :e16241-e16241

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