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ROCT-Net: A new ensemble deep convolutional model with improved spatial
resolution learning for detecting common diseases from retinal OCT images

ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images

International Conference on Computer and Knowledge Engineering (ICCKE), 2021

3 March 2022

Mohammad Rahimzadeh

ArXiv (abs)PDF HTML Github (11★)

Papers citing "ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images"

3 / 3 papers shown

Eye Disease Prediction using Ensemble Learning and Attention on OCT
Scans

Eye Disease Prediction using Ensemble Learning and Attention on OCT Scans

Nandini Narvekar

Nishita Nandanwar

109

11

0

26 Nov 2023

Wise-SrNet: A Novel Architecture for Enhancing Image Classification by
Learning Spatial Resolution of Feature Maps

Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature MapsPattern Analysis and Applications (PAA), 2021

Mohammad Rahimzadeh

Mohammad Reza Mohammadi

278

15

0

26 Apr 2021

Xception: Deep Learning with Depthwise Separable Convolutions

Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016

François Chollet

3.0K

16,776

0

07 Oct 2016

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