A two-stage CNN model for the classification and severity analysis of retinal and choroidal diseases in OCT images

Author:

George Neetha,Shine Linu,N Ambily,Abraham Bejoy,Ramachandran SivakumarORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Computer Networks and Communications,Artificial Intelligence

Reference24 articles.

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2. Oct-net: a convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes;Perdomo,2018

3. Clinically applicable deep learning for diagnosis and referral in retinal disease;De Fauw;Nat. Med.,2018

4. Attention to lesion: lesion-aware convolutional neural network for retinal optical coherence tomography image classification;Fang;IEEE Trans. Med. Imag.,2019

5. Deep learning-based automated classification of multi-categorical abnormalities from optical coherence tomography images;Lu;Translat. Vision Sci. Tech.,2018

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