CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Lung cancer diagnosis with quantitative DIC microscopy and support vector machine
Authors
Shuangshuang Cai
Min Xu
Bixin Zeng
Longfei Zheng
Publication date
1 January 2017
Publisher
DigitalCommons@Fairfield
Abstract
We report the study of lung squamous cell carcinoma diagnosis using the TI-DIC microscopy and the scattering-phase theorem. The spatially resolved optical properties of tissue are computed from the 2D phase map via the scattering-phase theorem. The scattering coefficient, the reduced scattering coefficient, and the anisotropy factor are all found to increase with the grade of lung cancer. The retrieved optical parameters are shown to distinguish cancer cases from the normal cases with high accuracy. This label-free microscopic approach applicable to fresh tissues may be promising for in situ rapid cancer diagnosis. © (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Fairfield University: DigitalCommons@Fairfield
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:digitalcommons.fairfield.e...
Last time updated on 15/12/2019