Weakly supervised collaborative learning for airborne pollen segmentation and classification from sem images

HIGHLIGHTS

• who: Jianqiang Li and colleagues from the Faculty of Information Technology, Beijing University of Technology, Beijing, China have published the paper: Weakly Supervised Collaborative Learning for Airborne Pollen Segmentation and Classification from SEM Images, in the Journal: Life 2023, 13, 247. of /2023/
• what: To solve the above problem, the authors propose collaborative learning for pollen segmentation and classification in a weakly supervised manner. As the authors can see from the experimental results, the approach showed the best performance with a precision of 0.864, a recall of 0.857, a specificity of 0.932 . . .
  

   

  

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