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IEEE Final Year Project Topics for CSE

Base Paper Title

Multi-grid phase field skin tumor segmentation in3D ultrasound images

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IEEE Project Abstract

The aim of this paper is to present a new method for skin tumor segmentation in 3D ultrasound images. We consider a variational formulation the energy of which combines a diffuse interface phase field model (regularization term) and a log likelihood computed using non parametric estimates (data attachment term). We propose a multi-grid implementation with exact solutions that has the advantage to avoid space discretization and numerical instabilities. The resulting algorithm is simple and is easy to implement in multi-dimensions. Concerning applications,we focus on skin tumor segmentation. The clinical dataset used for experiments is composed of 12 images with ground truth given by a dermatologist. Comparisons with reference methods show that the proposed method is more robust to the choice of the volume initialization. Moreover, thanks to the flexibility introduced by the diffuse interface, the sensitivity increases by 12% if the initialization is inside the lesion, and the Dice index increases by 59%, if the initialization covers the entire lesion.These results show that this new method is well-designed to tackle the problem of underestimation of tumor volumes.

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