Minimum resolution requirements of digital pathology images for accurate classification.

Autor: Neary-Zajiczek L; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, Charles Bell House, 43-45 Foley Street, Fitzrovia, London, W1W 7TS, United Kingdom; Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom. Electronic address: lydia.zajiczek.17@ucl.ac.uk., Beresna L; Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom., Razavi B; University College London Medical School, 74 Huntley Street, London, WC1E 6BT, United Kingdom., Pawar V; Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom., Shaw M; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, Charles Bell House, 43-45 Foley Street, Fitzrovia, London, W1W 7TS, United Kingdom; Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom; National Physical Laboratory, Hampton Road, Teddington, TW11 0LW, United Kingdom., Stoyanov D; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, Charles Bell House, 43-45 Foley Street, Fitzrovia, London, W1W 7TS, United Kingdom; Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom.

Publikováno v: Medical image analysis [Med Image Anal] 2023 Oct; Vol. 89, pp. 102891. Date of Electronic Publication: 2023 Jul 13.

Brain Responses to Surprising Stimulus Offsets: Phenomenology and Functional Significance.

Autor: Somervail, R, Bufacchi, R J, Salvatori, C, Neary-Zajiczek, L, Guo, Y, Novembre, G, Iannetti, G D

Publikováno v: Cerebral Cortex; 5/15/2022, Vol. 32 Issue 10, p2231-2244, 14p

Expert-level automated malaria diagnosis on routine blood films with deep neural networks.

Autor: Manescu P; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Shaw MJ; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Elmi M; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Neary-Zajiczek L; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Claveau R; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Pawar V; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Kokkinos I; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Oyinloye G; Department of Paediatrics, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; Childhood Malaria Research Group, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria., Bendkowski C; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Oladejo OA; Department of Computer Science, University of Ibadan, Ibadan, Nigeria.; African Computational Sciences Centre for Health and Development, University of Ibadan, Ibadan, Nigeria., Oladejo BF; Department of Computer Science, University of Ibadan, Ibadan, Nigeria.; African Computational Sciences Centre for Health and Development, University of Ibadan, Ibadan, Nigeria., Clark T; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Timm D; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Shawe-Taylor J; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Srinivasan MA; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Lagunju I; Department of Paediatrics, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; Childhood Malaria Research Group, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; African Computational Sciences Centre for Health and Development, University of Ibadan, Ibadan, Nigeria., Sodeinde O; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK.; Department of Paediatrics, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; Childhood Malaria Research Group, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria., Brown BJ; Department of Paediatrics, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; Childhood Malaria Research Group, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; African Computational Sciences Centre for Health and Development, University of Ibadan, Ibadan, Nigeria., Fernandez-Reyes D; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK.; Department of Paediatrics, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; Childhood Malaria Research Group, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; African Computational Sciences Centre for Health and Development, University of Ibadan, Ibadan, Nigeria.

Publikováno v: American journal of hematology [Am J Hematol] 2020 Aug; Vol. 95 (8), pp. 883-891. Date of Electronic Publication: 2020 Apr 30.

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Supporting Malaria Diagnosis Using Deep Learning and Data Augmentation.

Autor: Hoyos, Kenia¹ (AUTHOR) kmhoyosgonzalez@gmail.com, Hoyos, William^2,3,4 (AUTHOR) william.hoyos@campusucc.edu.co

Publikováno v: Diagnostics (2075-4418). Apr2024, Vol. 14 Issue 7, p690. 19p.