Melanoma Segmentation and Classification Employing Imaging and Graph Encodings

Rivera Monroy L, Eberhardt M, Ostalecki C, Baur A, Vera J, Maier A (2022)


Publication Type: Conference contribution

Publication year: 2022

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 144-145

Conference Proceedings Title: Proceedings - 2022 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022

Event location: Washington, DC US

ISBN: 9781450394765

DOI: 10.1145/3551455.3559153

Abstract

Histopathology imaging is crucial for the diagnosis and the decision on treating associated tissue diseases. For this reason, Computer-assisted approaches have gained popularity and shown promise in tasks such as segmentation and classification. However, collecting a significant amount of data and high-quality annotations remains a challenge. This work describes a pipeline for toponomy profiling on the population of cells that combines melanoma multidimensional fluorescent imaging, a supervised segmentation of the region of interest, and graph unsupervised embedded representation.The Multi-Epitope-Ligand Cartography (MELC) provides a range of data shown to be optimal for solving supervised and unsuper-vised tasks. This imaging technique and the methodology, such as the one presented here, are promising for further improvement in the study of diagnostic techniques and therapies for skin diseases, such as melanoma.

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How to cite

APA:

Rivera Monroy, L., Eberhardt, M., Ostalecki, C., Baur, A., Vera, J., & Maier, A. (2022). Melanoma Segmentation and Classification Employing Imaging and Graph Encodings. In Proceedings - 2022 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022 (pp. 144-145). Washington, DC, US: Institute of Electrical and Electronics Engineers Inc..

MLA:

Rivera Monroy, Luis, et al. "Melanoma Segmentation and Classification Employing Imaging and Graph Encodings." Proceedings of the 7th IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022, Washington, DC Institute of Electrical and Electronics Engineers Inc., 2022. 144-145.

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