Cover Image

HOG-CNN: Integrating Histogram of Oriented Gradients with Convolutional Neural Networks for Retinal Image Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ahmed, Faisal
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Topological Signatures vs. Gradient Histograms: A Comparative Study for Medical Image Classification
by: Ahmed, Faisal
Published: (2025)

Retinal Disease Classification from Fundus Images using CNN Transfer Learning
by: Akram, Ali
Published: (2026)

Feature Engineering is Not Dead: Reviving Classical Machine Learning with Entropy, HOG, and LBP Feature Fusion for Image Classification
by: Sen, Abhijit, et al.
Published: (2025)

Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks
by: Ahishali, Mete, et al.
Published: (2020)

Lightweight Convolutional Neural Networks for Retinal Disease Classification
by: Qasim, Duaa Kareem, et al.
Published: (2025)

Hybrid Topological and Deep Feature Fusion for Accurate MRI-Based Alzheimer's Disease Severity Classification
by: Ahmed, Faisal
Published: (2026)

A Distributed Hybrid Quantum Convolutional Neural Network for Medical Image Classification
by: Li, Yangyang, et al.
Published: (2025)

Accelerating Image Classification with Graph Convolutional Neural Networks using Voronoi Diagrams
by: Gharasuie, Mustafa Mohammadi, et al.
Published: (2025)

Brain Tumor Classification from 3D MRI Using Persistent Homology and Betti Features: A Topological Data Analysis Approach on BraTS2020
by: Ahmed, Faisal
Published: (2026)

SONIC: Spectral Oriented Neural Invariant Convolutions
by: Moens, Gijs Joppe, et al.
Published: (2026)

SNeurodCNN: Structure-focused Neurodegeneration Convolutional Neural Network for Modelling and Classification of Alzheimer's Disease
by: Odimayo, Simisola, et al.
Published: (2024)

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations
by: Wang, Bin, et al.
Published: (2022)

A Stochastic Approach to Classification Error Estimates in Convolutional Neural Networks
by: Peleska, Jan, et al.
Published: (2023)

Exploring the Role of Convolutional Neural Networks (CNN) in Dental Radiography Segmentation: A Comprehensive Systematic Literature Review
by: Brahmi, Walid, et al.
Published: (2024)

Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network
by: Wang, Zhen, et al.
Published: (2024)

Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints
by: Röseler, Peter, et al.
Published: (2025)

Identification via Retinal Vessels Combining LBP and HOG
by: Noori, Ali
Published: (2022)

Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
by: Wu, Yuli, et al.
Published: (2024)

Remote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning Techniques
by: Zaid, Mustafa Majeed Abd, et al.
Published: (2025)

Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approaches
by: Bhattacharjee, Indronil, et al.
Published: (2024)

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks
by: Sharma, Aaryam
Published: (2025)

Classification and regression of trajectories rendered as images via 2D Convolutional Neural Networks
by: Nicolai, Mariaclaudia, et al.
Published: (2024)

Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review
by: Bbouzidi, Sonia, et al.
Published: (2024)

Kronecker Product Feature Fusion for Convolutional Neural Network in Remote Sensing Scene Classification
by: Cheng, Yinzhu
Published: (2024)

Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networks
by: Morgan, Brandon, et al.
Published: (2024)

On the Efficiency of Convolutional Neural Networks
by: Lavin, Andrew
Published: (2024)

Deepfake Detection of Face Images based on a Convolutional Neural Network
by: Kroiß, Lukas, et al.
Published: (2025)

Colormap-Enhanced Vision Transformers for MRI-Based Multiclass (4-Class) Alzheimer's Disease Classification
by: Ahmed, Faisal
Published: (2025)

Automatic Classification of White Blood Cell Images using Convolutional Neural Network
by: Asghar, Rabia, et al.
Published: (2024)

Revolutionizing Wildfire Detection with Convolutional Neural Networks: A VGG16 Model Approach
by: Malladi, Lakshmi Aishwarya, et al.
Published: (2025)

Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
by: Bianchi, Matteo, et al.
Published: (2024)

Network Inversion of Convolutional Neural Nets
by: Suhail, Pirzada, et al.
Published: (2024)

Optimizing Convolutional Neural Network Architecture
by: Balderas, Luis, et al.
Published: (2023)

Self-Supervised Learning Featuring Small-Scale Image Dataset for Treatable Retinal Diseases Classification
by: Huang, Luffina C., et al.
Published: (2024)

Deep Convolutional Neural Networks for Palm Fruit Maturity Classification
by: Han, Mingqiang, et al.
Published: (2025)

Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
by: Faria, Fatema Tuj Johora, et al.
Published: (2024)

SIC: Similarity-Based Interpretable Image Classification with Neural Networks
by: Wolf, Tom Nuno, et al.
Published: (2025)

Brain Tumor Classification in MRI Images: A Computationally Efficient Convolutional Neural Network
by: Chowdhury, Md Fahimul Kabir, et al.
Published: (2026)

Disentangling Polysemantic Channels in Convolutional Neural Networks
by: Hesse, Robin, et al.
Published: (2025)

Emotion Recognition Using Convolutional Neural Networks
by: Xu, Shaoyuan, et al.
Published: (2025)