An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna Pattern Recognition 51, 12-26, 2016 | 69 | 2016 |
HEp-2 cell classification using multi-resolution local patterns and ensemble SVMs S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna 2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014 | 48 | 2014 |
Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks W Li, S Manivannan, S Akbar, J Zhang, E Trucco, SJ McKenna 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1405-1408, 2016 | 46 | 2016 |
Comparing computer-generated and pathologist-generated tumour segmentations for immunohistochemical scoring of breast tissue microarrays S Akbar, LB Jordan, CA Purdie, AM Thompson, SJ McKenna British journal of cancer 113 (7), 1075-1080, 2015 | 31 | 2015 |
Hep-2 specimen classification using multi-resolution local patterns and SVM S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna 2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014 | 19 | 2014 |
Immunohistochemical analysis of breast tissue microarray images using contextual classifiers SJ McKenna, T Amaral, S Akbar, L Jordan, A Thompson Journal of pathology informatics 4 (Suppl), 2013 | 18 | 2013 |
Automated and manual quantification of tumour cellularity in digital slides for tumour burden assessment S Akbar, M Peikari, S Salama, AY Panah, S Nofech-Mozes, AL Martel Scientific reports 9 (1), 1-9, 2019 | 13 | 2019 |
Tumor localization in tissue microarrays using rotation invariant superpixel pyramids S Akbar, L Jordan, AM Thompson, SJ McKenna 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1292-1295, 2015 | 12 | 2015 |
Transitioning between convolutional and fully connected layers in neural networks S Akbar, M Peikari, S Salama, S Nofech-Mozes, A Martel Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 9 | 2017 |
The transition module: a method for preventing overfitting in convolutional neural networks S Akbar, M Peikari, S Salama, S Nofech-Mozes, AL Martel Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019 | 6 | 2019 |
Tumour segmentation in breast tissue microarray images using spin-context S Akbar, T Amaral, SJ McKenna, A Thompson, L Jordan Proc. Medical Image Understanding and Analysis, 25-30, 2012 | 6 | 2012 |
Automated Segmentation of DCIS in Whole Slide Images N Seth, S Akbar, S Nofech-Mozes, S Salama, AL Martel European Congress on Digital Pathology, 67-74, 2019 | 5 | 2019 |
Determining tumor cellularity in digital slides using resnet S Akbar, M Peikari, S Salama, S Nofech-Mozes, AL Martel Medical Imaging 2018: Digital Pathology 10581, 105810U, 2018 | 5 | 2018 |
Local structure prediction for gland segmentation S Manivannan, W Li, S Akbar, J Zhang, E Trucco, SJ McKenna 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 799-802, 2016 | 5 | 2016 |
Spin-context segmentation of breast tissue microarray images S Akbar, SJ McKenna, T Amaral, L Jordan, A Thompson Ann BMVA 2013, 1-11, 2013 | 5 | 2013 |
Cluster-based learning from weakly labeled bags in digital pathology S Akbar, AL Martel arXiv preprint arXiv:1812.00884, 2018 | 3 | 2018 |
The Influence of Presentation Upon Examination Marks J Hughes, S Akbar 11 th Annual Conference of the Subject Centre for Information and Computer …, 2010 | 1 | 2010 |
Breast cancer estrogen receptor scoring in tissue microarrays: Specialist breast pathologist versus automation LB Jordan, S Akbar, CA Purdie, AM Thompson, SJ McKenna CANCER RESEARCH 76, 2016 | | 2016 |
Abstract P5-07-15: Breast cancer estrogen receptor scoring in tissue microarrays: Specialist breast pathologist versus automation LB Jordan, S Akbar, CA Purdie, AM Thompson, SJ McKenna Cancer Research 76 (4 Supplement), P5-07-15-P5-07-15, 2016 | | 2016 |
Tumour Localisation in Histopathology Images S Akbar University of Dundee, 2015 | | 2015 |