Zobia Suhail

Orcid: 0000-0002-1140-6255

According to our database1, Zobia Suhail authored at least 14 papers between 2015 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Knee Osteoarthritis Detection and Classification Using X-Rays.
IEEE Access, 2023

2019
Detection and classification of mammographic abnormalities.
PhD thesis, 2019

Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

2018
Tree-based modelling for the classification of mammographic benign and malignant micro-calcification clusters.
Multim. Tools Appl., 2018

Classification of micro-calcification in mammograms using scalable linear Fisher discriminant analysis.
Medical Biol. Eng. Comput., 2018

Mammographic mass classification using filter response patches.
IET Comput. Vis., 2018

A Voting-Based Encoding Technique for the Classification of Gleason Score for Prostate Cancers.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Bag of visual words based approach for the classification of benign and malignant masses in mammograms using voting-based feature encoding.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Multi-scale morphological feature extraction for the classification of micro-calcifications.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Comparing the performance of various deep networks for binary classification of breast tumours.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2015
Automatic detection of abnormalities in mammograms.
BMC Medical Imaging, 2015


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