Fig. 2. Overview of the proposed HiDiff for medical image segmentation. Our HiDiff involves two key components: discriminative segmentor anddiffusion refiner, where the discriminative segmentor provides a segmentation mask prior for diffusion models while the diffusion refiner effectively,efficiently, and ...
which can synergizethe strengths of existing discriminative segmentation modelsand new generative diffusion models, i.e. BBDM. The noveltyof our BBDM lies in three-fold: (i) effective: Bernoulli-baseddiffusion kernel to enhance the diffusion models in modelingthe discrete targets of the segmentation...
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Initially, we compute the difference between adja- cent rows in dk, and then take the absolute value to main- tain consistent gradient orientation. This absolute differ- ence is reassigned to the current row, enhancing the edge cue feature map in the ...
Thearray_diff_ukeyfunction is a useful tool in PHP for comparing arrays and finding the difference between them based on a custom key comparison function. By understanding how this function works and how to use it, you can make your PHP projects more efficient and effective. ...
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Matrix factorization- based techniques reshape the 3D HSIs and MSIs into ma- trices, thus facing the challenge of learning the required relationship between space and spectrum. Although sev- 7083 eral tensor-based methods have been proposed that can maintain the 3D s...
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