192 citations · 206 across the 3 of their papers we have counts for
5 papers
A Survey on Deep Learning for Skin Lesion Segmentation
Zahra Mirikharaji, Kumar Abhishek, Alceu Bissoto +5
Skin cancer is a major public health problem that could benefit from computer-aided diagnosis to reduce the burden of this common disease. Skin lesion segmentation from images is a…
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…
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors
Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao +1
The accuracy of medical imaging-based diagnostics is directly impacted by the quality of the collected images. A passive approach to improve image quality is one that lags behind i…
Learning to Segment Skin Lesions from Noisy Annotations
Zahra Mirikharaji, Yiqi Yan, Ghassan Hamarneh
Deep convolutional neural networks have driven substantial advancements in the automatic understanding of images. Requiring a large collection of images and their associated annota…
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation
Zahra Mirikharaji, Ghassan Hamarneh
Semantic segmentation is an important preliminary step towards automatic medical image interpretation. Recently deep convolutional neural networks have become the first choice for…