SP-Det: Self-Prompted Dual-Text Fusion for Generalized Multi-Label Lesion Detection

This article introduces a new approach, SP-Det, for multi-label lesion detection. The method utilizes self-prompted dual-text fusion, suggesting an innovative way to combine textual information for improved detection accuracy and generalization. The source being ArXiv indicates this is a research paper, likely detailing the methodology, experiments, and results of the proposed technique. Further analysis would require access to the full paper to assess the specific contributions, limitations, and potential impact of SP-Det.