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Clustering by Searching Density Peaks via Local Standard Deviation., , and . IDEAL, volume 10585 of Lecture Notes in Computer Science, page 295-305. Springer, (2017)CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images., , and . Cogn. Comput., 16 (3): 1176-1197 (May 2024)An Adaptive Clustering Algorithm by Finding Density Peaks., and . PRICAI, volume 11013 of Lecture Notes in Computer Science, page 317-325. Springer, (2018)SDW-DPC: An Advanced Clustering Algorithm by Searching Density Peaks using Standard Deviation Weighted Distance., , , and . CCIS, page 131-137. IEEE, (2022)Fetal brain tissue annotation and segmentation challenge results., , , , , , , , , and 48 other author(s). Medical Image Anal., (August 2023)Differential Feature Recognition of Breast Cancer Patients Based on Minimum Spanning Tree Clustering and F-statistics., , , and . HIS, volume 10038 of Lecture Notes in Computer Science, page 194-204. (2016)PSP-PJMI: An innovative feature representation algorithm for identifying DNA N4-methylcytosine sites., , , and . Inf. Sci., (2022)Granular Computing Combined with Support Vector Machines for Diagnosing Erythemato-Squamous Diseases., and . HIS, volume 10594 of Lecture Notes in Computer Science, page 56-68. Springer, (2017)Local Standard Deviation Spectral Clustering., , and . BigComp, page 242-250. IEEE Computer Society, (2018)The nnU-Net based method for automatic segmenting fetal brain tissues., , , , and . Health Inf. Sci. Syst., 11 (1): 17 (December 2023)