Overlapping Cell Nuclei Segmentation in Microscopic Images Using Deep Belief Networks
| Title | Overlapping Cell Nuclei Segmentation in Microscopic Images Using Deep Belief Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Duggal, Rahul, Gupta, Anubha, Gupta, Ritu, Wadhwa, Manya, Ahuja, Chirag |
| Conference Name | Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4753-2 |
| Keywords | B-ALL, belief networks, Collaboration, composability, deep belief network, Human Behavior, machine learning, Metrics, overlapping nuclei segmentation, policy, pubcrawl, Resiliency, Scalability |
| Abstract | This paper proposes a method for segmentation of nuclei of single/isolated and overlapping/touching immature white blood cells from microscopic images of B-Lineage acute lymphoblastic leukemia (ALL) prepared from peripheral blood and bone marrow aspirate. We propose deep belief network approach for the segmentation of these nuclei. Simulation results and comparison with some of the existing methods demonstrate the efficacy of the proposed method. |
| URL | http://doi.acm.org/10.1145/3009977.3010043 |
| DOI | 10.1145/3009977.3010043 |
| Citation Key | duggal_overlapping_2016 |