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Chun Fung Kwok

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Recent Articles
1.
Frazer H, Pena-Solorzano C, Kwok C, Elliott M, Chen Y, Wang C, et al.
Nat Commun . 2024 Aug; 15(1):7525. PMID: 39214982
Artificial intelligence (AI) readers of mammograms compare favourably to individual radiologists in detecting breast cancer. However, AI readers cannot perform at the level of multi-reader systems used by screening programs...
2.
Chen Y, Liu Y, Wang C, Elliott M, Kwok C, Pena-Solorzano C, et al.
Med Image Anal . 2024 May; 96:103192. PMID: 38810516
Methods to detect malignant lesions from screening mammograms are usually trained with fully annotated datasets, where images are labelled with the localisation and classification of cancerous lesions. However, real-world screening...
3.
Wang C, Chen Y, Liu F, Elliott M, Kwok C, Pena-Solorzano C, et al.
IEEE Trans Med Imaging . 2023 Aug; 43(1):392-404. PMID: 37603481
The deployment of automated deep-learning classifiers in clinical practice has the potential to streamline the diagnosis process and improve the diagnosis accuracy, but the acceptance of those classifiers relies on...
4.
Frazer H, Tang J, Elliott M, Kunicki K, Hill B, Karthik R, et al.
Radiol Artif Intell . 2023 Apr; 5(2):e220072. PMID: 37035431
Mammography, Screening, Convolutional Neural Network (CNN) Published under a CC BY 4.0 license. See also the commentary by Cadrin-Chênevert in this issue.