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The segmentation work was conducted using ubuntu16.04TSL, Pytorch 1.3, and CUDA 11.0 platforms. 2.4. Establishment of models for the exact concentration of Hb based on different algorithms As shown in ...
Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm Diana Mihaela Coroamă 1† Laura Dioșan 1† Teodora Telecan 2,3*‡ Iulia Andras 2,3 Nicolae Crișan 2,3 Paul Medan 2,3 ...
Aiming at the problems that the traditional color region growing segmentation algorithm has a large amount of computation, slow running speed and is easily affected by noise, this paper proposes an ...
Creation of a high-precision U-net segmentation algorithm The team aimed to create a segmentation method that doesn't depend on cell center identification. The Cellpose framework, which can be ...
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