A novel framework for abnormal risk classification over fetal nuchal translucency using adaptive stochastic gradient descent algorithm

HIGHLIGHTS

• who: Deepti Verma and colleagues from the Department of Computer Application, SAGE University, Indore, India have published the Article: A Novel Framework for Abnormal Risk Classification over Fetal Nuchal Translucency Using Adaptive Stochastic Gradient Descent Algorithm, in the Journal: Diagnostics 2022, 12, x FOR PEER REVIEW of /2022/
• what: This research work proposes an to evaluate the risk of fetal abnormality. The authors describe how the Adaptive Stochastic Gradient Descent Algorithm was utilized to quantify risk of the incorrect categorization of fetal nuchal translucency. Prenatal ultrasound on people who are obese can be problematic, and . . .
  

   

  

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