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A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images

Journal of digital imaging, 2019-10, Vol.32 (5), p.793-807

2019

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A new framework for incorporating appearance and shape features of lung nodules for precise diagnosis of lung cancer

2017 IEEE International Conference on Image Processing (ICIP), 2017, p.1372-1376

2017

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A Novel Autoencoder-Based Diagnostic System for Early Assessment of Lung Cancer

2018 25th IEEE International Conference on Image Processing (ICIP), 2018, p.1393-1397

2018

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Radiomic-Based Framework for Early Diagnosis of Lung Cancer

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.1293-1297

2019

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A Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary Nodules

2019 IEEE International Conference on Image Processing (ICIP), 2019, p.1400-1404

2019

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A Comprehensive Framework For Accurate Classification of Pulmonary Nodules

2020 IEEE International Conference on Image Processing (ICIP), 2020, p.408-412

2020

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Detection and segmentation of sputum cell for early lung cancer detection

2012 19th IEEE International Conference on Image Processing, 2012, p.2813-2816

2012

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Rule based classification of sputum images for early lung cancer detection

2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS), 2015, p.29-32

2015

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Computer aided diagnosis system for early lung cancer detection

2015 International Conference on Systems, Signals and Image Processing (IWSSIP), 2015, p.5-8

2015

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On The Integration of CT-Derived Features for Accurate Detection of Lung Cancer

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018, p.435-440

2018

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A New System for Lung Cancer Diagnosis based on the Integration of Global and Local CT Features

2019 IEEE International Conference on Imaging Systems and Techniques (IST), 2019, p.1-6

2019

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Morphology analysis of sputum color images for early lung cancer diagnosis

10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), 2010, p.296-299

2010

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Lung cancer detection by using artificial neural network and fuzzy clustering methods

2011 IEEE GCC Conference and Exhibition (GCC), 2011, p.295-298

2011

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Bayesian classification and artificial neural network methods for lung cancer early diagnosis

2012 19th IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2012), 2012, p.773-776

2012

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Comparison of Hopfield Neural Network and mean shift algorithm in segmenting sputum color images for lung Cancer Diagnosis

2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS), 2013, p.649-652

2013

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Early detection of lung cancer based on sputum color image analysis

2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS), 2013, p.62-63

2013

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Segmentation of sputum color image for lung cancer diagnosis based on mean shift algorithm

2013 Africon, 2013, p.1-6

2013

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Sputum image detection and extraction for lung cancer early diagnosis

2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), 2012, p.864-869

2012

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Cell extraction from sputum images for early lung cancer detection

2012 16th IEEE Mediterranean Electrotechnical Conference, 2012, p.485-488

2012

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A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images

A new framework for incorporating appearance and shape features of lung nodules for precise diagnosis of lung cancer

A Novel Autoencoder-Based Diagnostic System for Early Assessment of Lung Cancer

Radiomic-Based Framework for Early Diagnosis of Lung Cancer

A Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary Nodules

A Comprehensive Framework For Accurate Classification of Pulmonary Nodules

Detection and segmentation of sputum cell for early lung cancer detection

Rule based classification of sputum images for early lung cancer detection

Computer aided diagnosis system for early lung cancer detection

On The Integration of CT-Derived Features for Accurate Detection of Lung Cancer

A New System for Lung Cancer Diagnosis based on the Integration of Global and Local CT Features

Morphology analysis of sputum color images for early lung cancer diagnosis

Lung cancer detection by using artificial neural network and fuzzy clustering methods

Bayesian classification and artificial neural network methods for lung cancer early diagnosis

Comparison of Hopfield Neural Network and mean shift algorithm in segmenting sputum color images for lung Cancer Diagnosis

Early detection of lung cancer based on sputum color image analysis

Segmentation of sputum color image for lung cancer diagnosis based on mean shift algorithm

Sputum image detection and extraction for lung cancer early diagnosis

Cell extraction from sputum images for early lung cancer detection

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