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This paper was presented a practical method of solving inverse problems in tomography using neural networks. The methods to detect changes in the size and position of an object inside another object tomography. Computed tomography allows direct, non-invasive diagnosis of brain and other intracranial structures. With this method it is possible to detect intracerebral hemorrhages, tumors, etc.
The paper presents practical application of neural network to solution inverse problem in tomography. Presented are method to detect changes in shape and position of an object inside another object by using tomography. Computed tomography allows direct, non-invasive diagnosis of brain and other intracranial structures. With this method it is possible to detect anomalies.
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