2 citations · 2 across the 3 of their papers we have counts for
3 papers
Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss
Berke Levent Cesur, Ayse Humeyra Dur Karasayar, Pinar Bulutay +9
Cell detection and segmentation are integral parts of automated systems in digital pathology. Encoder-decoder networks have emerged as a promising solution for these tasks. However…
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation
Mehmet Bahadir Erden, Sinan Unver, Ilke Ali Gurses +2
Segmenting multiple objects (e.g., organs) in medical images often requires an understanding of their topology, which simultaneously quantifies the shape of the objects and their p…
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors
Mehmet Bahadir Erden, Selahattin Cansiz, Onur Caki +6
Encoder-decoder networks become a popular choice for various medical image segmentation tasks. When they are trained with a standard loss function, these networks are not explicitl…