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Tumor segmentation in whole slide images using persistent homology and deep convolutional features
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Qaiser, Talha, Tsang, Yee-Wah, Epstein, D. B. A. and Rajpoot, Nasir M. (2017) Tumor segmentation in whole slide images using persistent homology and deep convolutional features. In: Medical Image Understanding and Analysis (MIUA 2017), Edinburgh, 11-12 July 2017. Published in: Communications in Computer and Information Science pp. 320-329. ISSN 1865-0929.
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Official URL: https://doi.org/10.1007/978-3-319-60964-5_28
Abstract
This paper presents a novel automated tumor segmentation approach for Hematoxylin & Eosin stained histology images. The proposed method enhances the segmentation performance by combining the topological and convolution neural network (CNN) features. Our approach is based on 3 steps: (1) construct enhanced persistent homology profiles by using topological features; (2) train a CNN to extract convolutional features; (3) employ a multi-stage ensemble strategy to combine Random Forest regression models. The experimental results demonstrate that proposed method outperforms the conventional CNN.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics | ||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science Faculty of Science, Engineering and Medicine > Engineering > Engineering Faculty of Science, Engineering and Medicine > Science > Mathematics Faculty of Science, Engineering and Medicine > Science > Statistics Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre |
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| Journal or Publication Title: | Communications in Computer and Information Science | ||||
| Publisher: | Springer | ||||
| ISSN: | 1865-0929 | ||||
| Official Date: | 19 April 2017 | ||||
| Dates: |
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| Page Range: | pp. 320-329 | ||||
| Status: | Not Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Date of first compliant deposit: | 14 August 2017 | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | Medical Image Understanding and Analysis (MIUA 2017) | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Edinburgh | ||||
| Date(s) of Event: | 11-12 July 2017 | ||||
| Related URLs: |
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