Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 2966 | 2017 |
Histopathological image analysis: A review MN Gurcan, LE Boucheron, A Can, A Madabhushi, NM Rajpoot, B Yener IEEE reviews in biomedical engineering 2, 147-171, 2009 | 2252 | 2009 |
Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images K Sirinukunwattana, SEA Raza, YW Tsang, DRJ Snead, IA Cree, ... IEEE transactions on medical imaging 35 (5), 1196-1206, 2016 | 1313 | 2016 |
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images S Graham, QD Vu, SEA Raza, A Azam, YW Tsang, JT Kwak, N Rajpoot Medical Image Analysis 58, 101563, 2019 | 894 | 2019 |
Composition loss for counting, density map estimation and localization in dense crowds H Idrees, M Tayyab, K Athrey, D Zhang, S Al-Maadeed, N Rajpoot, ... Proceedings of the European Conference on Computer Vision (ECCV), 532-546, 2018 | 785 | 2018 |
Gland segmentation in colon histology images: The GlaS challenge contest K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ... Medical Image Analysis 35, 489-502, 2017 | 783 | 2017 |
A Non-Linear Mapping Approach to Stain Normalisation in Digital Histopathology Images using Image-Specific Colour Deconvolution AM Khan, N Rajpoot, D Treanor, D Magee IEEE Transactions on Biomedical Engineering, xx-xx, 2014 | 574 | 2014 |
Assessment of algorithms for mitosis detection in breast cancer histopathology images M Veta, PJ van Diest, SM Willems, H Wang, A Madabhushi, A Cruz-Roa, ... Medical image analysis 20 (1), 237-248, 2015 | 509 | 2015 |
A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 389 | 2019 |
MILD-net: minimal information loss dilated network for gland instance segmentation in colon histology images S Graham, H Chen, J Gamper, Q Dou, PA Heng, D Snead, YW Tsang, ... Medical image analysis 52, 199-211, 2019 | 301 | 2019 |
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019 | 295 | 2019 |
Why rankings of biomedical image analysis competitions should be interpreted with care L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ... Nature communications 9 (1), 5217, 2018 | 295 | 2018 |
Methods for segmentation and classification of digital microscopy tissue images QD Vu, S Graham, T Kurc, MNN To, M Shaban, T Qaiser, NA Koohbanani, ... Frontiers in bioengineering and biotechnology 7, 433738, 2019 | 270 | 2019 |
Validation of digital pathology imaging for primary histopathological diagnosis DRJ Snead, YW Tsang, A Meskiri, PK Kimani, R Crossman, NM Rajpoot, ... Histopathology 68 (7), 1063-1072, 2016 | 255 | 2016 |
A Stochastic Polygons Model for Glandular Structures in Colon Histology Images K Sirinukunwattana, D Snead, N Rajpoot IEEE Transactions on Medical Imaging, 2015 | 255 | 2015 |
Micro-Net: A unified model for segmentation of various objects in microscopy images SEA Raza, L Cheung, M Shaban, S Graham, D Epstein, S Pelengaris, ... Medical image analysis 52, 160-173, 2019 | 236 | 2019 |
Automatic detection of diseased tomato plants using thermal and stereo visible light images SA Raza, G Prince, JP Clarkson, NM Rajpoot Plos One 10 (4), 1-20, 2015 | 216 | 2015 |
Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice R Colling, H Pitman, K Oien, N Rajpoot, P Macklin, ... The Journal of pathology 249 (2), 143-150, 2019 | 202 | 2019 |
PanNuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification J Gamper, N Alemi Koohbanani, K Benet, A Khuram, N Rajpoot Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 …, 2019 | 201 | 2019 |
Cgc-net: Cell graph convolutional network for grading of colorectal cancer histology images Y Zhou, S Graham, N Alemi Koohbanani, M Shaban, PA Heng, N Rajpoot Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 187 | 2019 |