乳腺癌
特征(语言学)
计算机科学
模式识别(心理学)
医学
人工智能
癌症
内科学
语言学
哲学
作者
Haitian Gui,Tao Su,Xinhua Jiang,Li Li,Lang Xiong,Ji Zhou,Zhiyong Pang
标识
DOI:10.1016/j.acra.2024.09.048
摘要
Breast cancer screening is critical for reducing mortality rates. YOLOv9, a new real-time object-detection model, is ideal for cancer screening. A customized YOLOv9 model with enhancements for detecting breast cancer on the basis of species and morphological diversity has potential clinical significance.
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