Shuib, Liyana

Deep learning-based breast cancer classification through medical imaging modalities: State of the art and research challenges

Murtaza, G., Shuib, L., Abdul Wahab, A. W., Mujtaba, G., Mujtaba, G., Nweke, H. F., Al-garadi, M. A., Zulfiqar, F., Raza, G., & Azmi, N. A. (2020) · Artificial Intelligence Review

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 342

Identification of personal traits in adaptive learning environment: Systematic literature review

Afini Normadhi, N. B., Shuib, L., Md Nasir, H. N., Bimba, A., Idris, N., & Balakrishnan, V. (2019) · Computers & Education

Intelligent Tutoring Systems and Adaptive LearningLearning Styles and Cognitive Differences

Cited by 204

Clinical text classification research trends: Systematic literature review and open issues

Mujtaba, G., Shuib, L., Idris, N., Hoo, W. L., Raj, R. G., Khowaja, K., Shaikh, K., & Nweke, H. F. (2019) · Expert Systems with Applications

Text and Document Classification TechnologiesBiomedical Text Mining and Ontologies

Cited by 123

Malaysian urban poor adoption of e-government applications and their satisfaction

Shuib, L., Yadegaridehkordi, E., & Ainin, S. (2019) · Cogent Social Sciences

E-Government and Public ServicesTechnology Adoption and User Behaviour

Cited by 36