HistoClean: Open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks

Autor: Kris D. McCombe, Stephanie G. Craig, Amélie Viratham Pulsawatdi, Javier I. Quezada-Marín, Matthew Hagan, Simon Rajendran, Matthew P. Humphries, Victoria Bingham, Manuel Salto-Tellez, Richard Gault, Jacqueline A. James

Publikováno v: Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 4840-4853 (2021)

The growth of digital pathology over the past decade has opened new research pathways and insights in cancer prediction and prognosis. In particular, there has been a surge in deep learning and computer vision techniques to analyse digital images. Co

Externí odkaz: https://doaj.org/article/f0c15eb6333743c6b9d1efb413a0bc73

Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images

Autor: Andrew Moyes, Richard Gault, Kun Zhang, Ji Ming, Danny Crookes, Jing Wang

Publikováno v: Moyes, A, Gault, R, Zhang, K, Ming, J, Crookes, D & Wang, J 2023, ' Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images ', Medical Image Analysis, vol. 83, 102640 . https://doi.org/10.1016/j.media.2022.102640

Domain shift is a problem commonly encountered when developing automated histopathology pipelines. The performance of machine learning models such as convolutional neural networks within automated histopathology pipelines is often diminished when app

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cbcc25340096fbba5a7847b2fa14fd7
https://pure.qub.ac.uk/en/publications/89e1fd7e-3a2d-4ea0-9d76-eacc7da2a34b

Influence of Magnification in Deep Learning Aided Image Segmentation in Histological Digital Image Analysis

Autor: Kris McCombe, Stephanie Craig, Jacqueline James, Richard Gault

Publikováno v: McCombe, K D, Craig, S G, James, J A & Gault, R 2022, Influence of magnification in deep learning aided image segmentation in histological digital image analysis . in Proceedings of the 24th Irish Machine Vision and Image Processing Conference . Irish Pattern Recognition and Classification Society, pp. 161-164, 24th Irish Machine Vision and Image Processing Conference, Belfast, United Kingdom, 31/08/2022 . https://doi.org/10.56541/RAKL2135

The use of digital pathology has grown significantly for both healthcare and research purposes in recent years. With this comes opportunity to develop systems supported by computer vision (CV) and artificial intelligence (AI), with the potential to i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::299e4f8a7c01ece89d8281eefd8bb979
https://doi.org/10.56541/rakl2135

Perceptual Modeling of Tinnitus Pitch and Loudness

Autor: Sonya Coleman, TM McGinnity, Richard Gault

Publikováno v: Gault, R, McGinnity, T M & Coleman, S 2020, ' Perceptual Modeling of Tinnitus Pitch and Loudness ', IEEE Transactions on Cognitive and Developmental Systems, vol. 12, no. 2, pp. 332-343 . https://doi.org/10.1109/TCDS.2020.2964841

Tinnitus is the phantom perception of sound, experienced by 10%–15% of the global population. Computational models have been used to investigate the mechanisms underlying the generation of tinnitus-related activity. However, existing computational

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3af774fd44cff0ca7ee58110c53ff41
https://doi.org/10.1109/tcds.2020.2964841

HistoClean: Open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks

Autor: Manuel Salto-Tellez, Matthew P. Humphries, Matthew Hagan, Richard Gault, Victoria Bingham, Stephanie G Craig, Jacqueline A James, Amélie Viratham Pulsawatdi, Simon Rajendran, Javier I Quezada-Marín, Kris McCombe

Publikováno v: Computational and Structural Biotechnology Journal
McCombe, K, Craig, S, Viratham Pulsawatdi, A, Quezada-Marín, J I, Hagan, M, Rajendran, S, Humphries, M, Bingham, V, Salto-Tellez, M, Gault, R & James, J 2021, ' HistoClean: Open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks ', Computational and Structural Biotechnology Journal, vol. 19, pp. 4840-4853 . https://doi.org/10.1016/j.csbj.2021.08.033
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 4840-4853 (2021)

Graphical abstract
The growth of digital pathology over the past decade has opened new research pathways and insights in cancer prediction and prognosis. In particular, there has been a surge in deep learning and computer vision techniques to an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::888e8ae55821f28eb210e8dde6b1d88f
https://pubmed.ncbi.nlm.nih.gov/34522291