A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear.
Mazin Abed MohammedMohd Khanapi Abd GhaniArunkumar N.Raed Ibraheem HamedMohamad Khir AbdullahBurhanuddin Mohd AboobaiderPublished in: Future Gener. Comput. Syst. (2018)
Keyphrases
- computer aided
- object detection
- real time
- genetic algorithm
- computer assisted
- computer aided diagnosis
- risk factors
- evolutionary algorithm
- face detection
- neural network
- capsule endoscopy
- feature vectors
- computer vision
- computer aided design
- diagnosis of breast cancer
- haar wavelets
- image features
- image analysis
- object categories
- differential diagnosis
- fuzzy logic
- vision system
- control system
- pattern recognition
- lung cancer
- process planning
- pulmonary nodules