Toufique Ahmed Soomro

Orcid: 0000-0002-8560-0026

Affiliations:
  • Guangdong University of Technology, Guangzhou, China
  • Charles Sturt University, Bathurst, NSW, Australia (PhD)


According to our database1, Toufique Ahmed Soomro authored at least 34 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor Classification.
IEEE Access, 2024

2023
Dual-Branch U-Net Architecture for Retinal Lesions Segmentation on Fundus Image.
IEEE Access, 2023

2022
Impact of Image Enhancement Module for Analysis of Mammogram Images for Diagnostics of Breast Cancer.
Sensors, 2022

An Improved Infrared and Visible Image Fusion Using an Adaptive Contrast Enhancement Method and Deep Learning Network with Transfer Learning.
Remote. Sens., 2022

Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research.
Artif. Intell. Rev., 2022

Rapid On-Site Weed Identification with Machine Learning.
Proceedings of the Image and Video Technology - 10th Pacific-Rim Symposium, 2022

2021
An Active Contour Method Based on Regularized Kernel Fuzzy C-Means Clustering.
IEEE Access, 2021

A Scale Normalized Generalized LoG Detector Approach for Retinal Vessel Segmentation.
IEEE Access, 2021

Pixel2point: 3D Object Reconstruction From a Single Image Using CNN and Initial Sphere.
IEEE Access, 2021

2020
An Enhanced Image Fusion Algorithm by Combined Histogram Equalization and Fast Gray Level Grouping Using Multi-Scale Decomposition and Gray-PCA.
IEEE Access, 2020

Mini V-Net: Depth Estimation from Single Indoor-Outdoor Images using Strided-CNN.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019
Boosting sensitivity of a retinal vessel segmentation algorithm.
Pattern Anal. Appl., 2019

A generalized multi-scale line-detection method to boost retinal vessel segmentation sensitivity.
Pattern Anal. Appl., 2019

Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation.
Expert Syst. Appl., 2019

Deep Learning Models for Retinal Blood Vessels Segmentation: A Review.
IEEE Access, 2019

Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation.
IEEE Access, 2019

Hybrid Active Contours Driven by Edge and Region Fitting Energies Based on p-Laplace Equation.
IEEE Access, 2019

2018
An Active Contour Model Based on Region Based Fitting Terms Driven by p-Laplace Length Regularization.
IEEE Access, 2018

Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation.
IEEE Access, 2018

Simultaneous Object Classification and Viewpoint Estimation using Deep Multi-task Convolutional Neural Network.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Retinal Blood Vessels Extraction of Challenging Images.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2017
Contrast normalization steps for increased sensitivity of a retinal image segmentation method.
Signal Image Video Process., 2017

Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey.
Pattern Anal. Appl., 2017

Retinal blood vessel extraction method based on basic filtering schemes.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016
Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation.
Comput. Math. Methods Medicine, 2016

Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Neural network based denoised methods for retinal fundus images and MRI brain images.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Automatic Retinal Vessel Extraction Algorithm.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015
Study of the Noise Level in the Colour Fundus Images.
Proceedings of the Data Science - Second International Conference, 2015

2013
Identification of noise in the fundus images.
Proceedings of the 2013 IEEE International Conference on Control System, 2013

Non-invasive contrast enhancement for retinal fundus imaging.
Proceedings of the 2013 IEEE International Conference on Control System, 2013


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