Personal profile
Research Focus
Lossless image compression of multiplex immunohistochemistry images
Research Interests
- Digital Pathology
- Whole Slide Image Compression
- Lossless Compression
- Deep Learning
Achievements
- Fellow of the Higher Education Authority (FHEA)
- Fundamentals of Deep Learning, NVIDIA
Keywords
- QA75 Electronic computers. Computer science
- RB Pathology
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 11 Sustainable Cities and Communities
Fingerprint
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Research output
- 1 Conference contribution
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Exploring deep learning approaches to whole slide image compression
Smith, C. & Gault, R., 01 Sept 2025, Proceedings of the 27th Irish Machine Vision and Image Processing Conference, IMVIP 2025. Irish Pattern Recognition & Classification Society, p. 99-103 (Proceedings of the Irish Machine Vision and Image Processing Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile29 Downloads (Pure)