TiLCA-Net: nuclei segmentation and classification in pathological images via task-specialized attention and efficient decoding
Background Nuclei segmentation and classification in whole-slide images (WSIs) are critical for tumor diagnosis and treatment. Existing methods often face multi-task feature conflict and computational redundancy. This study aimed to develop an efficient multi-task framework that balances segmentation accuracy and infer...