Lincoln Repository

Items where Subject is "B821 Radiography, diagnostic"

JACS Subject (4)
- B Subjects allied to Medicine (4)
  - B821 Radiography, diagnostic (4)

Group by: Creators | Keywords | Item Type

A-frames Automatic classification CMOS image sensor COVID-19 CT colonography Chest x-rays Classification (of information) Computer-aided detection Conditional random field Deep learning Deep transfer learning network Different sizes Diffraction imaging Digital cameras Digital image storage Discriminative learning Dynamic range Effective dynamics Frame rate Frames per seconds Graphic methods High dynamic range High-quality segmentation Image segmentation Image sensors Light Machine learning Medical X-ray imaging Medical imaging Mega-pixel Modular designs Neural networks NotOAChecked Parallel output Pixels, Medical imaging Pneumonia Reduced integration Region of interest Scalable design Scientific applications Semantics Sensing areas Stitching techniques Sub-regions Topological constraints, Computerized tomography, Article Topology, Automatic colon segmentation Tuberculosis Wafer-scale X-ray diffraction studies, Diffraction bmjgoldcheck classifier colon computed tomographic colonography computed tomography scanner computer assisted radiography discrimination learning graph inference human image processing

Number of items at this level: 59.

A-frames

Clark, A. T., Guerrini, Nicola, Allinson, Nigel, Bohndiek, Sarah E., Crooks, Jamie, Pickering, T. and Turchetta, R. (2008) A 54mm x 54mm - 1.8Megapixel CMOS image sensor for medical imaging. In: NSS/MIC 2008, 19 - 25 October 2008, Dresden, Germany.

Automatic classification

Mamalakis, Michail, Swift, Andrew J., Vorselaars, Bart, Ray, Surajit, Weeks, Simonne, Ding, Weiping, Clayton, Richard H., Mackenzie, Louise S. and Banerjee, Abhirup (2021) DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Computerized Medical Imaging and Graphics, 94 . p. 102008. ISSN 0895-6111

CMOS image sensor

COVID-19

CT colonography

Yang, X., Ye, Xujiong and Slabaugh, G. (2015) Multilabel region classification and semantic linking for colon segmentation in CT colonography. IEEE Transactions on Biomedical Engineering, 62 (3). pp. 948-959. ISSN 0018-9294

Chest x-rays

Classification (of information)

Computer-aided detection

Conditional random field

Deep learning

Li, Matthew D, Chang, Ken, Bearce, Ben, Chang, Connie Y, Huang, Ambrose J, Campbell, J Peter, Brown, James M, Singh, Praveer, Hoebel, Katharina V, Erdoğmuş, Deniz, Ioannidis, Stratis, Palmer, William E, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2020) Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digital Medicine, 3 (48). ISSN 2398-6352

Deep transfer learning network

Different sizes

Diffraction imaging

Digital cameras

Digital image storage

Discriminative learning

Dynamic range

Effective dynamics

Frame rate

Frames per seconds

Graphic methods

High dynamic range

High-quality segmentation

Image segmentation

Image sensors

Light

Machine learning

Medical X-ray imaging

Medical imaging

Mega-pixel

Modular designs

Neural networks

NotOAChecked

Parallel output

Pixels, Medical imaging

Pneumonia

Reduced integration

Region of interest

Scalable design

Scientific applications

Semantics

Sensing areas

Stitching techniques

Sub-regions

Topological constraints, Computerized tomography, Article

Topology, Automatic colon segmentation

Tuberculosis

Wafer-scale

X-ray diffraction studies, Diffraction

bmjgoldcheck

classifier

colon

computed tomographic colonography

computed tomography scanner

computer assisted radiography

discrimination learning

graph inference

human

image processing

This list was generated on Tue May 24 16:05:38 2022 BST.

Export as	Atom RSS 1.0 RSS 2.0