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What are the major research areas in retinopathy of prematurity in the field of deep learning? 


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Major research areas in retinopathy of prematurity (ROP) in the field of deep learning include the automatic detection of retinal features such as the optical disc (OD) and retinal blood vessels (BV), as well as disease classification using rule-based methods . Deep learning algorithms, such as YOLO-v5, Pix2Pix, U-Net, and DCNN, have been used for OD detection and BV segmentation . Another area of research is the development of deep learning-based collaborative edge-cloud telemedicine systems for timely screening and diagnosis of ROP in remote areas with limited medical resources . Additionally, deep learning has been used for quantitative analysis of retinal images to predict the need for treatment in ROP . Pretrained transfer learning frameworks have been employed to create hybrid models for higher accuracy in classifying Plus disease, stages of ROP, and zones . These research areas aim to improve the accuracy and efficiency of ROP screening and diagnosis using deep learning techniques.

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The major research areas in retinopathy of prematurity in the field of deep learning are the use of novel fundus image preprocessing methods and the application of pretrained transfer learning frameworks to improve diagnosis accuracy.
The major research areas in retinopathy of prematurity in the field of deep learning are the use of novel fundus preprocessing methods and pretrained transfer learning frameworks to improve diagnosis accuracy.
The major research areas in retinopathy of prematurity (ROP) in the field of deep learning include determining the presence or absence of pre-plus and plus disease, predicting the need for treatment or referral, and identifying the presence or absence of aggressive ROP.
The major research areas in retinopathy of prematurity in the field of deep learning are the automatic detection of retinal features (such as the optical disc and retinal blood vessels) and disease classification using a rule-based method.

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