Optic Disc Segmentation Using Cascaded Multiresolution Convolutional Neural Networks

Dhruv Mohan, J. R. Harish Kumar, Chandra Sekhar Seelamantula

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Optic disc segmentation is a crucial step in the development of automated tools for the detection and diagnosis of optical pathologies such as glaucoma. In this paper, we build upon our previous work, where we introduced the Fine-Net [1] - a Convolutional Neural Network (CNN) for optic disc segmentation. In this work, we introduce a prior CNN called the P-Net, which is arranged in cascade with the Fine-Net, to generate a more accurate optic disc segmentation map. The P-Net generates a low-resolution (256 × 256) segmentation map which is then further upscaled along with the input image and is fed to the Fine-Net, which yields a high-resolution segmentation map (1024 × 1024). Both CNNs are separately trained on publicly available datasets: DRISHTI-GS, MESSIDOR, and DRIONS-DB. We demonstrate the advantage of providing a prior segmentation map via the P-Net and further improve on our previous predictions. We obtain state-of-the-art results with an average Dice coefficient of 0.966 and Jaccard coefficient of 0.934.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
PublisherIEEE Computer Society
Pages834-838
Number of pages5
ISBN (Electronic)9781538662496
DOIs
Publication statusPublished - 09-2019
Externally publishedYes
Event26th IEEE International Conference on Image Processing, ICIP 2019 - Taipei, Taiwan, Province of China
Duration: 22-09-201925-09-2019

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2019-September
ISSN (Print)1522-4880

Conference

Conference26th IEEE International Conference on Image Processing, ICIP 2019
CountryTaiwan, Province of China
CityTaipei
Period22-09-1925-09-19

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All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Mohan, D., Harish Kumar, J. R., & Sekhar Seelamantula, C. (2019). Optic Disc Segmentation Using Cascaded Multiresolution Convolutional Neural Networks. In 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings (pp. 834-838). [8804267] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2019-September). IEEE Computer Society. https://doi.org/10.1109/ICIP.2019.8804267