2 papers
cs.CV2020
Image Embedded Segmentation: Uniting Supervised and Unsupervised Objectives for Segmenting Histopathological Images
C. T. Sari, C. Sokmensuer, C. Gunduz-Demir
This paper presents a new regularization method to train a fully convolutional network for semantic tissue segmentation in histopathological images. This method relies on the benef…
cs.CV2019
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks
Gozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz-Demir
Dense prediction models are widely used for image segmentation. One important challenge is to sufficiently train these models to yield good generalizations for hard-to-learn pixels…