Application of image recognition technology in pathological diagnosis of blood smears
Wangxinjun Cheng,
Jingshuang Liu,
Chaofeng Wang
et al.
Abstract:Traditional manual blood smear diagnosis methods are time-consuming and prone to errors, often relying heavily on the experience of clinical laboratory analysts for accuracy. As breakthroughs in key technologies such as neural networks and deep learning continue to drive digital transformation in the medical field, image recognition technology is increasingly being leveraged to enhance existing medical processes. In recent years, advancements in computer technology have led to improved efficiency in the identi… Show more
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