KIAM Main page Web Library  •  Publication Searh   
Publication

Conference material: "Proceedings of the International Conference on Computer Graphics and Vision Graphicon (19-21 September 2023, Moscow)"
Authors: Yakovlev N., Khvostikov A.V., Krylov A.S.
Method for automatic initialization of trainable active contours for instance segmentation in histological images
Abstract:
The method of trainable active contour is one of the semi-automatic segmentation methods that can be applied to segment glands in histological images. In this paper, we propose a method for automatic initialization of trainable active contour model, which makes the segmentation method fully automatic. Using a U-Net like architecture, a preprocessed image segmentation masks is predicted for the input image, from which initial approximations of contours are calculated for each gland. The proposed method correctly marks 96.2 % part for the glands on the test set of the PATH-DT-MSU S1-v2 dataset. As a result, we get initial approximations located inside each gland in the image.
Keywords:
Glands segmentation, active contours, convolution neural networks, histological images, instance segmentation
Publication language: english,  pages: 11 (p. 598-608)
English source text:
Export link to publication in format:   RIS    BibTeX
About authors:
  • Yakovlev Nikita,  orcid.org/0009-0009-2905-3951Lomonosov Moscow State University
  • Khvostikov Alexander Vladimirovich,  orcid.org/0000-0002-4217-7141Lomonosov Moscow State University
  • Krylov Andrey Serdjevich,  orcid.org/0000-0001-9910-4501Lomonosov Moscow State University