Deep feature engineering in colposcopy image recognition: a comparative study

HIGHLIGHTS

  • who: Shefa Tawalbeh and colleagues from the Department of Biomedical Systems and Informatics Engineering, Yarmouk University, Irbid , have published the paper: Deep Feature Engineering in Colposcopy Image Recognition: A Comparative Study, in the Journal: Bioengineering 2023, 10, x FOR PEER REVIEW of /2023/
  • what: The aim of feature fusion is to combine information from two or more feature sets into a single dataset that has more discriminant power than each feature vector. Due to the limited number of studies that use feature-level fusion for cervical cancer classification, which is the main purpose of this . . .

     

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