3 papers
eess.IV2020
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation
Zahra Mirikharaji, Kumar Abhishek, Saeed Izadi +1
Medical image segmentation annotations suffer from inter- and intra-observer variations even among experts due to intrinsic differences in human annotators and ambiguous boundaries…
cs.CV2020
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images
Kumar Abhishek, Ghassan Hamarneh, Mark S. Drew
The semantic segmentation of skin lesions is an important and common initial task in the computer aided diagnosis of dermoscopic images. Although deep learning-based approaches hav…
q-bio.PE2019
EvoZip: Efficient Compression of Large Collections of Evolutionary Trees
Balanand Jha, David Fernández-Baca, Akshay Deepak +1
Phylogenetic trees represent evolutionary relationships among sets of organisms. Popular phylogenetic reconstruction approaches typically yield hundreds to thousands of trees on a…