2 papers
eess.IV2025
PathSeqSAM: Sequential Modeling for Pathology Image Segmentation with SAM2
Mingyang Zhu, Yinting Liu, Mingyu Li +1
Current methods for pathology image segmentation typically treat 2D slices independently, ignoring valuable cross-slice information. We present PathSeqSAM, a novel approach that tr…
eess.IV2025
CTI-Unet: Cascaded Threshold Integration for Improved U-Net Segmentation of Pathology Images
Mingyang Zhu, Yuqiu Liang, Jiacheng Wang
Chronic kidney disease (CKD) is a growing global health concern, necessitating precise and efficient image analysis to aid diagnosis and treatment planning. Automated segmentation…