TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision
ConclusionsTaking a multi-scale approach that leverages contextual information improves prostate cancer detection compared to ROI-scale-only models. The proposed model achieves a statistically significant improvement in performance and outperforms other large-scale studies in the literature. Our code is publicly available atwww.github.com/med-i-lab/TRUSFormer.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research
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