Bounded-depth threshold circuits for computer-assisted CT image classification

Artificial Intelligence in Medicine

Volumn 24, Issue 2, 2002, Pages 179-192

  Albrecht, A ^a   Hein, E ^b   Steinhofel K ^c   Taupitz, M ^b   Wong, C K ^a,d  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b HUMBOLDT UNIVERSITY   (Germany)

^c GMDNational Research Center for IT   (Germany)

^d IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Cooling schedule; CT images; Focal liver tumour; Logarithmic; Perceptron algorithm; Simulated annealing; Threshold functions

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTERIZED TOMOGRAPHY; RANDOM PROCESSES; SIMULATED ANNEALING;

THRESHOLD CIRCUITS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; CALCULATION; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC VALUE; EVALUATION; EXPERIMENT; INTEGRATED CIRCUIT; LIVER; PERCEPTIVE THRESHOLD; PRIORITY JOURNAL; RATING SCALE; SIMULATION; STOCHASTIC MODEL; TRAINING;

ALGORITHMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIVER NEOPLASMS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0036159021     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(01)00101-4     Document Type: Article

References (23)

1. Logarithmic simulated annealing for computer-assisted X-ray diagnosis
2. Neural network approach for differential diagnosis of interstitial lung diseases: A pilot study
3. Multicategory classification by support vector machines
4. An expert system for the detection of cervical cancer cells using knowledge-based image analyser
5. Experiences with a weighted decision tree learner
6. Artificial intelligence and neural networks in radiology: Application to computer-aided diagnostic schemes
7. Evolving artificial neural networks for screening features from mammograms
8. Cooling schedules for optimal annealing
9. Threshold circuits of bounded depth
10. Feature selection for optimized skin tumour recognition using genetic algorithms
11. On the design of circuits from threshold elements
12. Breast cancer diagnosis and prognosis via linear programming
13. A fuzzy-genetic approach to breast cancer diagnosis
14. Use of artificial neural networks in modeling associations of discriminant factors: Towards an intelligent selective breast cancer screening
15. Boosting the margin: A new explanation for the effectiveness of voting methods
16. Multisurface method of pattern separation for medical diagnosis applied to breast cytology
17. Detection of lung nodules in digital chest radiographs using artificial neural networks: A pilot study