Accurate preoperative subtype classification of renal cell carcinoma (RCC) from contrast-enhanced CT remains clinically challenging because clear cell RCC (ccRCC) and non-clear cell RCC often show overlapping imaging appearances. This study evaluates whether foundation representations reduce reliance on handcrafted rad...
Yuan Liang, Fangyijie Wang, Kathleen M. Curran et al.· 0 citations
Population ageing is increasing the demand for technologies that support independent living while addressing the growing complexity of cognitive decline, caregiving, and long-term home-based care. Despite the fact that ambient assisted living (AAL) and extended reality (XR) technologies have independently demonstrated...
Rawan A. Al-Rashid Agha, A. Campbell· Empathic Computing· 0 citations
These findings support radiomics as a useful complement to RenalCLIP in a small labelled cohort and identify FiLM as an effective approach to integrating their representations for robust renal tumour classification.
Yuan Liang, Sourav Bhattacharjee, A. Campbell· 0 citations
It is suggested that radiomics remains relevant for RCC CT classification in the presence of foundation representations, and that its integration with MedVAE is more effective in the 3D setting, which supports a complementary role for radiomics and foundation representations in clinically meaningful imaging decision su...
Yuan Liang, Sourav Bhattacharjee, A. Campbell· 0 citations
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