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Gil, Matthew and Dick, Craig and Harrow, Stephen and Murray, Paul and Reines March, Gabriel and Marshall, Stephen; Waiter, Gordon and Lambrou, Tryphon and Leontidis, Georgios and Oren, Nir and Morris, Teresa and Gordon, Sharon, eds. (2023) A deep learning based approach to semantic segmentation of lung tumour areas in gross pathology images. In: Medical Image Understanding and Analysis. Lecture Notes in Computer Science . Springer, GBR, pp. 18-32. ISBN 9783031485930
Reines March, Gabriel and Ju, Xiangyang and Marshall, Stephen; (2017) Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathology images. In: Irish Machine Vision and Image Processing Conference Proceedings. Irish Pattern Recognition & Classification Society, IRL, pp. 257-260. ISBN 978-0-9934207-2-6
Conference or Workshop Item
Harrow, S. and Reines-March, G. and Dick, C. and Ju, X. and Marshall, S. (2018) Correlation of pre-operative cancer imaging techniques with post-operative macro and microscopic lung pathology images. In: IASLC 19th World Conference on Lung Cancer, 2018-09-23 - 2018-09-26.
Reines March, Gabriel and Dick, Craig and Harrow, Stephen and Ju, Xiangyang and Marshall, Stephen (2018) Lung tumor 3D reconstruction from planar CT scans and registration to micro and macroscopic pathology imaging. In: 40th International Conference of the IEEE Engineering in Medicine and Biology Society, 2018-07-17 - 2018-07-21.
Reines March, Gabriel and Ju, Xiangyang and Marshall, Stephen and Harrow, Stephen and Dick, Craig (2017) Correlation of pre-operative cancer imaging techniques with post-operative macro and microscopic lung pathology images. In: USCAP 2018 Annual Meeting, 2018-03-17 - 2018-03-23, Vancouver Convention Center. (In Press)
Reines March, G. and Ju, X. and Marshall, S. (2017) Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathologic images. In: Centre for Doctoral Training in Applied Photonics Annual Conference 2017, 2017-06-23 - 2017-06-23, Heriot-Watt University.