Cargando…
Deep Learning Signal Discrimination for Improved Sensitivity at High Specificity for CMOS Intraoperative Probes
The challenge in delineating the boundary between cancerous and healthy tissue during cancer resection surgeries can be addressed with the use of intraoperative probes to detect cancer cells labeled with radiotracers to facilitate excision. In this study, deep learning algorithms for background gamm...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991998/ https://www.ncbi.nlm.nih.gov/pubmed/35419499 http://dx.doi.org/10.1109/TRPMS.2021.3098448 |
Ejemplares similares
-
Highly Sensitive Lineage Discrimination of SARS-CoV-2 Variants through Allele-Specific Probe PCR
por: Ratcliff, Jeremy, et al.
Publicado: (2022) -
A branch-migration based fluorescent probe for straightforward, sensitive and specific discrimination of DNA mutations
por: Xiao, Xianjin, et al.
Publicado: (2017) -
Front-Inner Lens for High Sensitivity of CMOS Image Sensors
por: Seok, Godeun, et al.
Publicado: (2019) -
Design of LNA probes that improve mismatch discrimination
por: You, Yong, et al.
Publicado: (2006) -
A BiCMOS Synchronous Pulse Discriminator for the LHCb Calorimeter System
por: Gascón, D
Publicado: (2002)