2019
DOI: 10.1109/mmm.2019.2922119
|View full text |Cite
|
Sign up to set email alerts
|

Ex Vivo Breast Tumor Identification: Advances Toward a Silicon-Based Terahertz Near-Field Imaging Sensor

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 20 publications
(13 citation statements)
references
References 56 publications
0
13
0
Order By: Relevance
“…However, the image recording in reflection mode, when the surface is rough, causes tremendous difficulties [345], hence needing special technological and computing approaches. As a result, compact near-field THz imaging systems are currently getting more preference, for instance, in biomedical applications [347].…”
Section: Thz Light-field Imaging Techniquementioning
confidence: 99%
“…However, the image recording in reflection mode, when the surface is rough, causes tremendous difficulties [345], hence needing special technological and computing approaches. As a result, compact near-field THz imaging systems are currently getting more preference, for instance, in biomedical applications [347].…”
Section: Thz Light-field Imaging Techniquementioning
confidence: 99%
“…Nevertheless, there have been studies showing near-field THz imaging of biosamples. 56,[86][87][88][89][90][91][92][93][94][95] These references use different systems and will be discussed below.…”
Section: Microscopy and The Near-fieldmentioning
confidence: 99%
“…Overall, the global difference between these values was shown to be the highest between 300- and 700-GHz, roughly. Hence, rather than investigating the entire band, the classification was operated at 550-GHz, as a good trade-off between signal-to-noise ratio (SNR) and higher frequency spatial resolution 45 . However, naively classifying pixels via the refractive index exhibited at 550-GHz may hardly be relevant.…”
Section: Refractive Index Mapmentioning
confidence: 99%