GMANet: Gradient Mask Attention Network for Finding Clearest Human Fecal Microscopic Image in Autofocus Process

The intelligent recognition of formed elements in microscopic images is a research hotspot. Whether the microscopic image is clear or blurred is the key factor affecting the recognition accuracy. Microscopic images of human feces contain numerous items, such as undigested food, epithelium, bacteria...

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Autores principales: Xiangzhou Wang, Lin Liu, Xiaohui Du, Jing Zhang, Guangming Ni, Juanxiu Liu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/3d3d8aa63f3b4a5d9b7d998a57841612
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