2020 Vol.1 Mar.No1

• Title: Effect of postoperative nursing on preventing postoperative recurrence of high complex heart disease
• Name: Zhuoze Rongyi1,Dashi Kuranosuke2
• Company: (1.Japan University of Economics,Taizai Mansion 818-0100,Japan; 2.Fuosaka University of Technology,Dadong 537-0014,Japan)
• Abstract:

  Aiming at the problem of poor resolution of sea surface image due to the influence of fog, a fast fog removal method based on deep learning is proposed. Feature collection and recognition of sea surface image are realized by combining with deep learning principle, denoising processing is carried out according to the recognition results, and color brightness is adjusted according to the transmission of ocean image, initial image gray histogram parameters are obtained as the basis for haze removal correction, and image haze removal and sharpening processing are carried out based on gray value. Finally, through experiments, it is proved that the fast fog removal method based on deep learning image has high effectiveness, can better improve the clarity of the ocean image, and fully meets the research requirements.

  
  

• Keyword: postoperative nursing; High complex heart disease; Postoperative recurrence; sequela;
• DOI: 10.12250/jpcarme2020010173
• Citation form: Zhuoze Rongyi,Dashi Kuranosuke.Effect of postoperative nursing on preventing postoperative recurrence of high complex heart disease,2020,Vol.1,1-5.

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