Mamaru Melkam, Setegn Fentahun, Gidey Rtbey, Fantahun Andualem, Girum Nakie, Techilo Tinsae, Mulat Awoke Kassa, Bezawit Melak Fente
Multilevel analysis of intimate partner violence and associated factors among reproductive-age women: Kenya demographic and health survey 2022 data
BMC public health
findings 2023 aapm grand challenge deep generative modeling learning medical image statistics reported special report goal challenge promote development deep generative models medical imaging emphasize need domainrelevant assessments via analysis relevant image statistics part grand challenge common training dataset evaluation procedure developed benchmarking deep generative models medical image synthesis create training dataset established 3d virtual breast phantom adapted resulting dataset comprised 108000 images size 512512 evaluation submissions challenge ensemble 10000 dgmgenerated images submission employed evaluation procedure consisted two stages first stage preliminary check memorization image quality via frchet inception distance fid performed submissions passed first stage evaluated reproducibility image statistics corresponding several feature families including texture morphology image moments fractal statistics skeleton statistics summary measure feature space employed rank submissions additional analyses submissions performed assess dgm performance specific individual feature families four classes training data also identify various artifacts fiftyeight submissions 12 unique users received challenge 12 submissions 9 submissions passed first stage evaluation eligible ranking topranked submission employed conditional latent diffusion model whereas joint runnersup employed generative adversarial network followed another network image superresolution general observed overall ranking top 9 submissions according evaluation method match fidbased ranking ii differed respect individual feature families another important finding additional analyses different dgms demonstrated similar kinds artifacts grand challenge highlighted need domainspecific evaluation dgm design well deployment also demonstrated specification dgm may differ depending intended use