Guobin Li
Postgraduate
Manylion Cyswllt
- Ebost: gul12@aber.ac.uk
- Swyddfa: C57, Adeilad Llandinam
- Proffil Porth Ymchwil
Grwpiau Ymchwil
Cyhoeddiadau
Li, G, Zhou, M, Fu, Y, Alam, N, Denton, ERE & Zwiggelaar, R 2025, 'An interpretable CNN-based model for mass classification in mammography', Knowledge-Based Systems, vol. 316, 113372. 10.1016/j.knosys.2025.113372
Li, G & Zwiggelaar, R 2024, 'Feature learning based on connectivity estimation for unbiased mammography mass classification', Computer Vision and Image Understanding, vol. 238, 103884. 10.1016/j.cviu.2023.103884
Li, G & Zwiggelaar, R 2024, Improving the CNNs Performance of Mammography Mass Classification via Binary Mask Knowledge Transfer. in ML Giger, HM Whitney, K Drukker & H Li (eds), 17th International Workshop on Breast Imaging, IWBI 2024., 131741Y, Proceedings of SPIE - The International Society for Optical Engineering, vol. 13174, SPIE, 17th International Workshop on Breast Imaging, IWBI 2024, Chicago, United States of America, 09 Jun 2024. 10.1117/12.3026884
Zhou, M, Shang, C, Li, G, Shen, L, Naik, N, Jin, S, Peng, J & Shen, Q 2023, 'Transformation-Based Fuzzy Rule Interpolation With Mahalanobis Distance Measures Supported by Choquet Integral', IEEE Transactions on Fuzzy Systems, vol. 31, no. 4, pp. 1083-1097. 10.1109/TFUZZ.2022.3194368
Li, G, Thomas, C & Zwiggelaar, R 2022, Comparison of deep learned and texture features in mammographic mass classification. in 16th International Workshop on Breast Imaging (IWBI2022): Proceedings Volume 12286 Sixteenth International Workshop on Breast Imaging. vol. 12286, SPIE, pp. 153-159, 16th International Workshop on Breast Imaging , Leuven, Belgium, 22 May 2022. 10.1117/12.2625774
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