Please use this identifier to cite or link to this item: http//localhost:8080/jspui/handle/123456789/10957
Title: Deformable Medical Image Registration using advanced Ai Techniques
Authors: HACHICHI, Aimene Nedjemeddine
Keywords: Digital Watermarking, Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT)
Issue Date: 8-Jun-2023
Publisher: Université Echahid Chikh Larbi Tébessi -Tébessa
Abstract: Image medical registration is one of the most active areas in image processing, and has attracted particular interest in many areas such as medical image analysis, remote sensing, and mapping. The main idea of these techniques is to identify the spatial shift between two images which makes it possible to match the equivalent properties. Registration can be local or international. Several deep-learning-based registration techniques have been developed that have shown impressive performance in terms of matching, which can be grouped into two main classes: Flexible and Diffeomorphic feature registration based on extraction between two images. In the graduation project, we established an accurate learning model based on convolutional neural networks that were trained to record images. Where the model proved acceptable accuracy and speed
URI: http//localhost:8080/jspui/handle/123456789/10957
Appears in Collections:3- إعلام آلي

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