研究人员开发了Aycromo，一个开源桌面平台，旨在协助细胞遗传学分析以诊断遗传性疾病。该平台利用深度学习模型，特别是YOLOv11，自动检测中期分裂象中的染色体，实现了99.40%的mAP@50。Aycromo集成了预训练模型、基准测试模块和交互式标注界面，将分析时间从几天缩短到几秒钟。 AI
影响 通过自动化染色体检测加速遗传性疾病的诊断，实现更快的临床分析。
排序理由 这是一篇描述开源平台及其在特定任务上性能的研究论文。
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arXiv:2604.24685v1 Announce Type: new Abstract: Chromosome analysis is a fundamental step in the diagnosis of genetic diseases, but the manual karyotyping workflow is time-consuming and heavily dependent on expert specialists, often requiring several days per patient. Although De…
Chromosome analysis is a fundamental step in the diagnosis of genetic diseases, but the manual karyotyping workflow is time-consuming and heavily dependent on expert specialists, often requiring several days per patient. Although Deep Learning models have achieved high performanc…