Entropy-based deep neural network training optimization for optical coherence tomography imaging

Author:

Karthik Karri1,Mahadevappa Manjunatha1ORCID

Affiliation:

1. School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, India

Publisher

Informa UK Limited

Reference36 articles.

1. AOCT-NET: a convolutional network automated classification of multiclass retinal diseases using spectral-domain optical coherence tomography images

2. DeepOCT: An explainable deep learning architecture to analyze macular edema on OCT images

3. RetiNet: Automatic AMD identification in OCT volumetric data;Apostolopoulos S.;Investigative Ophthalmology & Visual Science,2017

4. Understanding and improving early stopping for learning with noisy labels;Bai Y.;Advances in Neural Information Processing Systems,2021

5. Brownlee J. 2020. Understand the impact of learning rate on neural network performance. Accessed September 3 2021. https://machinelearningmastery.com/understand-the-dynamics-of-learning-rate-on-deep-learning-neural-networks/

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