Ef cient and accurate diagnosis of otomycosis using an ensemble deep-learning model

HIGHLIGHTS

• who: August and colleagues from the Indian Institute of Technology Indore, of Buenos Aires, Argentina have published the Article: Ef cient and accurate diagnosis of otomycosis using an ensemble deep-learning model, in the Journal: (JOURNAL)
• what: The aim of this study was to establish a comprehensive identification system for otomycosis by comparing the effects of several typical deep CNN models using otoendoscopic images and web applications and selecting three models with the best recognition effects. To adapt the output of the model to the objective of the study , the otoendoscopic images were classified into . . .
  

   

  

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