Cite
HARVARD Citation
Jin, S. et al. (2023). Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture. International journal of imaging systems and technology. 33 (1), pp. 362-377. [Online].