Now showing items 1-2 of 2
Shape-preserving loss in deep learning for cell segmentation
(Bilkent University, 2020-07)
Fully convolutional networks (FCNs) have become the state-of-the-art models for cell instance segmentation in microscopy images. These networks are trained by minimizing a loss function, which typically deﬁnes the loss of ...
Deep learning based unsupervised tissue segmentation in histopathological images
(Bilkent University, 2017-11)
In the current practice of medicine, histopathological examination of tissues is essential for cancer diagnosis. However, this task is both subject to observer variability and time consuming for pathologists. Thus, it ...