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- W3212997890 abstract "In this paper a new method for skin tumor detection is developed using image processing. Considered a variation formulation, the energy of which combines a diffuse interface phase-field model (regularization term) and a log-likelihood computed using nonparametric estimates (data attachment term). Adopted CNN with the exact solutions which have the advantage to avoid space discretization and numerical instabilities. The resulting algorithm is simple and easy to implement in multi-dimensions. Concerning applications, focused on skin tumor segmentation. The clinical dataset used for the experiments is composed of 15 images with the ground truth given by a dermatologist. Comparisons with the reference methods, the proposed method is more robust to the choice of the volume initialization. Moreover, 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. The results show that this new method is well designed to tackle the problem of underestimation of tumor volumes." @default.
- W3212997890 created "2021-11-22" @default.
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- W3212997890 date "2021-01-01" @default.
- W3212997890 modified "2023-09-26" @default.
- W3212997890 title "SKIN TUMORDETECTION THROUGH IMAGE PROCESSING" @default.
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