IEEE Transactions on Image Processing | IEEE Signal Processing Society
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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Medical Symptoms are sometimes very tricky to analyse in real time as it takes time for example, first to detect the symptoms then to perform some tests and finally coming to a solution. This process can be eliminated and lot of time can be saved by introducing the concept of Deep learning. CNNs create a network for extracting the features of a given image in order to evaluate the image based on the conditions required. This property of the CNN is used as a certain advantage in order to detect the symptoms based on the type of X-ray images provided.
LDMM is based on the fact that the patch manifolds of many natural images have low dimensional structure. Based on this fact, the Persons' Personality Traits Recognition using Machine Learning Algorithms andImage Processing Techniques free download Abstract The context of this work is the development of persons' personality recognition system using machine learning techniques. Identifying the personality traits from a face image are helpful in many situations, such as identification of criminal behavior in Image Processing Method for Detection and Description of Structures in the Histological Images of Placental Villi.