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Found 3 papers, 1 papers with code
Time Series Clustering for Grouping Products Based on Price and Sales Patterns
We compare our approach with traditional clustering algorithms, which typically rely on generic distance metrics such as Euclidean distance, and image clustering approaches that aim to group data by capturing its visual patterns.
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation
Our method achieved an overall average DSC of 0. 87 on T1w and 0. 90 on T2w for the abdominal organs, 0. 82 on T2wFS for the parotid glands, and 0. 77 on T2w MRI for lung tumors.
Local block-wise self attention for normal organ segmentation
We developed our approach using U-net and compared it against multiple state-of-the-art self attention methods.
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