Meixiang Tian, Jing Kang, Xuan Huan, Jiangyan Yin, Zhengyi Zhang
Correlation between family function and quality of life in patients with atrial fibrillation
Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
liver fibrosis poses significant public health challenge given elevated incidence associated mortality rates diffusionweighted imaging dwi serves noninvasive diagnostic tool supporting identification liver fibrosis deep learning computeraided diagnostic technology assist recognizing stage liver fibrosis extracting abstract features dwi images however gathering samples often challenging posing common dilemma previous research moreover previous studies frequently overlooked crosscomparison information latent connections among different dwi parameters thus becoming challenge identify effective dwi parameters dig potential features multiple categories dataset limited samples selfdefined multiview contrastive learning network developed automatically classify multiparameter dwi images explore synergies different dwi parameters densefusion attention contrastive learning network dacln designed used recognize dwi images concretely multiview contrastive learning framework constructed train extract features raw multiparameter dwi besides densefusion module designed integrate feature output predicted labels evaluated performance proposed model set real clinical data analyzed interpretability gradcam annotation analysis achieving average scores 08825 08702 08933 08727 08779 accuracy precision recall specificity f1 score note experimental results revealed ivimf ctrw monoadc exhibited significant recognition ability complementarity method achieves competitive accuracy liver fibrosis diagnosis using limited multiparameter dwi dataset finds three types dwi parameters high sensitivity diagnosing liver fibrosis suggests potential directions future research