116 citations
3 papers
stat.ME2022★ 3 cited
Relaxation of the parameter independence assumption in the `bootComb` R package
Marc Yves Romain Henrion
Background. The bootComb R package allows researchers to derive confidence intervals with correct target coverage for arbitrary combinations of arbitrary numbers of independently e…
cs.CV2018★ 116 cited
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram +8
Skin lesion segmentation (SLS) in dermoscopic images is a crucial task for automated diagnosis of melanoma. In this paper, we present a robust deep learning SLS model, so-called SL…
stat.AP2013★ 1 cited
Combining data from multiple spatially referenced prevalence surveys using generalized linear geostatistical models
Emanuele Giorgi, Sanie S. S. Sesay, Dianne J. Terlouw +1
Data from multiple prevalence surveys can provide information on common parameters of interest, which can therefore be estimated more precisely in a joint analysis than by separate…