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Using deep learning a U-net architecture is used to make segmentation, detection, and extraction of the lower left third molar. The result of the proposed U-net is compared with Attention U-net and U-net++.
Implementation of the paper "A novel approach to keypoint detection for the aesthetic evaluation of breast cancer surgery outcomes" by Tiago Gonçalves, Wilson Silva, Maria J. Cardoso and Jaime S. Cardoso.
Image segmentation implemented using pytorch on a COCO format Dataset of Ingredients with various models including U-NET, U-NET++, SegNet and DeepLabV3+
Dermatologists suffer from the difficulty of locating cancerous and malignant skin lesions, which causes many problems during the process of removing the tumor, which leads to the return of the tumor again. In determining the location of the tumor and its spread and determining the area that must be removed accurately.