Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet

Grabel P, Ozkan O, Crysandt M, Herwartz R, Baumann M, Klinkhammer BM, Boor P, Brummendorf TH, Merhof D (2020)

Publication Type: Conference contribution

Publication year: 2020

Journal

Proceedings - International Symposium on Biomedical Imaging

Publisher: IEEE Computer Society

Book Volume: 2020-April

Pages Range: 249-253

Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging

Event location: Iowa City, IA, USA

ISBN: 9781538693308

DOI: 10.1109/ISBI45749.2020.9098398

Abstract

Analysis of the blood cell distribution in bone marrow is necessary for a detailed diagnosis of many hematopoietic diseases, such as leukemia. While this task is performed manually on microscope images in clinical routine, automating it could improve reliability and objectivity. Cell detection tasks in medical imaging have successfully been solved using deep learning, in particular with RetinaNet, a powerful network architecture that yields good detection results in this scenario. It utilizes axis-parallel, rectangular bounding boxes to describe an object's position and size. However, since cells are mostly circular, this is suboptimal. We replace RetinaNet's anchors with more suitable Circular Anchors, which cover the shape of cells more precisely. We further introduce an extension to the Non-maximum Suppression algorithm that copes with predictions that differ in size. Experiments on hematopoietic cells in bone marrow images show that these methods reduce the number of false positive predictions and increase detection accuracy.

Involved external institutions

Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE) Universitätsklinikum Aachen (UKA) DE Germany (DE)

How to cite

APA:

Grabel, P., Ozkan, O., Crysandt, M., Herwartz, R., Baumann, M., Klinkhammer, B.M.,... Merhof, D. (2020). Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet. In Proceedings - International Symposium on Biomedical Imaging (pp. 249-253). Iowa City, IA, USA: IEEE Computer Society.

MLA:

Grabel, Philipp, et al. "Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet." Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA IEEE Computer Society, 2020. 249-253.

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