Accurate nuclei segmentation in histopathology images is crucial for downstream biological analysis. While Transformer based models excel at capturing global contexts, they struggle with blurred boundaries and structural adhesion in dense cellular regions. To address this, we propose Swin-UNet-EARM, introducing an Edge...
Wu-Hao Zhong, Song Liu, Xin-Rui Wan et al.· Conference on Advanced Algor...· 0 citations
Detecting minute defects in printed circuit boards (PCBs) against highly repetitive background textures remains a fundamental challenge for end-to-end detectors. Subtle defect features are easily weakened during conventional crossscale fusion, while normal patterns such as traces, pads, and vias may produce strong fals...
Lin-Chang Zhao, Ming-Chao Deng, Hao Long et al.· Conference on Advanced Algor...· 0 citations
Accurate 3D segmentation of hepatocellular carcinoma (HCC) is crucial for preoperative planning; however, extreme scale variations, inherently blurred boundaries, and the prohibitive computational overhead associated with 3D convolutions pose formidable challenges. To address this, we propose DualConvNeXt-U, a novel 3D...
Xin-Rui Wan, Song Liu, Wu-Hao Zhong et al.· Conference on Advanced Algor...· 0 citations
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