Ilya Mikheev, Helen Steiner, Olga Martynova
Detecting cognitive traits and occupational proficiency using EEG and statistical inference
Scientific reports
diabetic retinopathy dr common diabetic complication usually leads retinal damage vision loss even blindness computeraided dr grading system significant impact helping ophthalmologists rapid screening diagnosis recent advances fundus photography precipitated development novel retinal imaging cameras subsequent implementation clinical practice however deep learningbased algorithms dr grading demonstrate limited generalization across domains inferior performance stems variance imaging protocols devices inducing domain shifts posit declining model performance domains arises learning spurious correlations data incorporating dooperations causality analysis model architectures may mitigate issue improve generalizability specifically novel universal structural causal model scm proposed analyze spurious correlations fundus imaging building causalityinspired diabetic retinopathy grading framework named caudr developed eliminate spurious correlations achieve generalizable dr diagnostics furthermore existing datasets reorganized 4dr benchmark dg scenario results demonstrate effectiveness stateoftheart sota performance caudr diabetic retinopathy dr common diabetic complication usually leads retinal damage vision loss even blindness computeraided dr grading system significant impact helping ophthalmologists rapid screening diagnosis recent advances fundus photography precipitated development novel retinal imaging cameras subsequent implementation clinical practice however deep learningbased algorithms dr grading demonstrate limited generalization across domains inferior performance stems variance imaging protocols devices inducing domain shifts posit declining model performance domains arises learning spurious correlations data incorporating dooperations causality analysis model architectures may mitigate issue improve generalizability specifically novel universal structural causal model scm proposed analyze spurious correlations fundus imaging building causalityinspired diabetic retinopathy grading framework named caudr developed eliminate spurious correlations achieve generalizable dr diagnostics furthermore existing datasets reorganized 4dr benchmark dg scenario results demonstrate effectiveness stateoftheart sota performance caudr