Skin Tumor Segmentation in 3D Ultrasound Images Using Multi-Grid Phase Fields PROJECT TITLE : Multi-Grid Phase Field Skin Tumor Segmentation in 3D Ultrasound Images ABSTRACT: The purpose of this research is to offer a new method for 3D ultrasound skin tumour segmentation. An energy formulation that includes a diffuse interface phase field model (regularisation term) and a log-likelihood derived using nonparametric estimations is considered in this paper (data attachment term). To prevent spatial discretization and numerical instability, we present a multi-grid approach with exact solutions. Multi-dimensional implementation of the method is simple and straightforward because of the simplicity of the algorithm itself. Skin tumour segmentation is the primary focus of our research. Dermatologist-provided ground truth is used for the clinical dataset in the trials. The proposed method outperforms the reference methods when compared to a variety of volume initializations. As a result of the diffuse interface's flexibility, sensitivity improves by 12 percent when the initialization is inside the lesion and by 59 percent when the initialization covers the entire lesion. They show that this new strategy is well-suited for dealing with underestimating in tumour sizes. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest MSFD (Multi-Scale Segmentation-Based Feature Detection) Multi-Scale Segmentation-Based Feature Detection for Wide-Baseline Scene Reconstruction Convolutional Neural Networks with Mutual Components for Heterogeneous Face Recognition
