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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

Mohammad Rahimzadeh
M. Mohammadi
ArXiv (abs)PDFHTMLGithub (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
Title
Eye Disease Prediction using Ensemble Learning and Attention on OCT Scans
Eye Disease Prediction using Ensemble Learning and Attention on OCT Scans
Gauri Naik
Nandini Narvekar
Dimple Agarwal
Nishita Nandanwar
Himangi Pande
27
6
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 Maps
Mohammad Rahimzadeh
AmirAli Askari
Soroush Parvin
Elnaz Safi
Mohammad Reza Mohammadi
104
13
0
26 Apr 2021
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.6K
14,664
0
07 Oct 2016

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