Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  1 ,  propose a new method based on texture analysis for trabecular bone disease diagnosis. For this purpose,  present a working model based on a preprocessing step follod by a projection on a 1D oriented axis at a defined angle. First, the dual-tree transform M-band is applied on the 1D obtained signal. Then, the Renyi based information measure is computed on sub-bands coefficients in order to characterize the anisotropy which is strongly present in our application related to bone radiograph characterization. Finally, the Wilcoxon test is used on the Renyi entropies obtained for each subband and the K nearest neighborhoods classifier is used with the Renyi divergence as a distance. Applied on two different populations composed of osteoporotic (OP) patients and control (CT) subjects, a classification rate of 98% is achieved which provides a good discrimination beten OP patients and CT subjects.
['Ahmed El Hassani', 'Mohammed El Hassouni', 'Lotfi Houam', 'Mohammed Rziza', 'Eric Lespessailles', 'Rachid Jennane']
I am writing a research paper on a idea Texture analysis using dual tree M-band and Rényi entropy. I am writing a research paper on a idea Application to osteoporosis diagnosis on bone radiographs
[{"from": "human", "value": "I am writing a research paper on a idea Texture analysis using dual tree M-band and R\u00e9nyi entropy. I am writing a research paper on a idea Application to osteoporosis diagnosis on bone radiographs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  1 ,  propose a new method based on texture analysis for trabecular bone disease diagnosis. For this purpose,  present a working model based on a preprocessing step follod by a projection on a 1D oriented axis at a defined angle. First, the dual-tree transform M-band is applied on the 1D obtained signal. Then, the Renyi based information measure is computed on sub-bands coefficients in order to characterize the anisotropy which is strongly present in our application related to bone radiograph characterization. Finally, the Wilcoxon test is used on the Renyi entropies obtained for each subband and the K nearest neighborhoods classifier is used with the Renyi divergence as a distance. Applied on two different populations composed of osteoporotic (OP) patients and control (CT) subjects, a classification rate of 98% is achieved which provides a good discrimination beten OP patients and CT subjects."}]