Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mirikharaji, Zahra"'
Autor:
Mirikharaji, Zahra, Abhishek, Kumar, Bissoto, Alceu, Barata, Catarina, Avila, Sandra, Valle, Eduardo, Celebi, M. Emre, Hamarneh, Ghassan
Publikováno v:
Medical Image Analysis (2023): 102863
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 an important step toward achieving this goal. However, the presence of
Externí odkaz:
http://arxiv.org/abs/2206.00356
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation
Medical image segmentation annotations suffer from inter- and intra-observer variations even among experts due to intrinsic differences in human annotators and ambiguous boundaries. Leveraging a collection of annotators' opinions for an image is an i
Externí odkaz:
http://arxiv.org/abs/2012.07206
Autor:
Mirikharaji, Zahra, Abhishek, Kumar, Bissoto, Alceu, Barata, Catarina, Avila, Sandra, Valle, Eduardo, Celebi, M. Emre, Hamarneh, Ghassan
Publikováno v:
In Medical Image Analysis August 2023 88
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 improvements in imaging hardware, awaiting better sensor technology of
Externí odkaz:
http://arxiv.org/abs/1908.03238
Deep convolutional neural networks have driven substantial advancements in the automatic understanding of images. Requiring a large collection of images and their associated annotations is one of the main bottlenecks limiting the adoption of deep net
Externí odkaz:
http://arxiv.org/abs/1906.03815
Autor:
Mirikharaji, Zahra, Hamarneh, Ghassan
Semantic segmentation is an important preliminary step towards automatic medical image interpretation. Recently deep convolutional neural networks have become the first choice for the task of pixel-wise class prediction. While incorporating prior kno
Externí odkaz:
http://arxiv.org/abs/1806.08437
Autor:
Hussain, Mohammad Arafat, Mirikharaji, Zahra, Momeny, Mohammad, Marhamati, Mahmoud, Neshat, Ali Asghar, Garbi, Rafeef, Hamarneh, Ghassan
Publikováno v:
In Computerized Medical Imaging and Graphics December 2022 102
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.