Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image analysis, thus  approach this task as a machine-learning problem, regardless of the domain. FIRE is used as a black-box algorithm to extract different groups of image features that are later used for training different classifiers based on kNN algorithm in order to predict the IRMA code. The main idea behind the definition of our experiments is to evaluate whether an axis-by-axis prediction is better than a prediction by pairs of axes or the complete code, or vice versa.
['Sara Lana-Serrano', 'Julio Villena-Román', 'José Carlos González-Cristóbal', 'José Miguel Goñi-Menoyo']
I am writing a research paper on a idea MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation
[{"from": "human", "value": "I am writing a research paper on a idea MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image analysis, thus  approach this task as a machine-learning problem, regardless of the domain. FIRE is used as a black-box algorithm to extract different groups of image features that are later used for training different classifiers based on kNN algorithm in order to predict the IRMA code. The main idea behind the definition of our experiments is to evaluate whether an axis-by-axis prediction is better than a prediction by pairs of axes or the complete code, or vice versa."}]