YOLOX-based framework for nuclei detection on whole-slide histopathological RGB and hyperspectral images

Carlos Vega; Laura Quintana; Samuel Ortega; Himar Fabelo; Esther Sauras; Noèlia Gallardo; Daniel Mata; Marylene Lejeune; Carlos Lopez; Gustavo M. Callico

doi:10.1117/12.2654036

6 April 2023 YOLOX-based framework for nuclei detection on whole-slide histopathological RGB and hyperspectral images

Carlos Vega, Laura Quintana, Samuel Ortega, Himar Fabelo, Esther Sauras, Noèlia Gallardo, Daniel Mata, Marylene Lejeune, Carlos Lopez, Gustavo M. Callico

Author Affiliations +

Proceedings Volume 12471, Medical Imaging 2023: Digital and Computational Pathology; 124711A (2023) https://doi.org/10.1117/12.2654036
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

The current advances in Whole-Slide Imaging (WSI) scanners allow for more and better visualization of histological slides. However, the analysis of histological samples by visual inspection is subjective and could be challenging. State-of-the-art object detection algorithms can be trained for cell spotting in a WSI. In this work, a new framework for the detection of tumor cells in high-resolution and high-detail using both RGB and Hyperspectral (HS) imaging is proposed. The framework introduces techniques to be trained on partially labeled data, since labeling at the cellular level is a time and energy-consuming task. Furthermore, the framework has been developed for working with RGB and HS information reduced to 3 bands. Current results are promising, showcasing in RGB similar performance as reference works (F1-score = 66.2%) and high possibilities for the integration of reduced HS information into current state-of-art deep learning models, with current results improving the mean precision a 6.3% from synthetic RGB images.

Conference Presentation

Citation Download Citation

Carlos Vega, Laura Quintana, Samuel Ortega, Himar Fabelo, Esther Sauras, Noèlia Gallardo, Daniel Mata, Marylene Lejeune, Carlos Lopez, and Gustavo M. Callico "YOLOX-based framework for nuclei detection on whole-slide histopathological RGB and hyperspectral images", Proc. SPIE 12471, Medical Imaging 2023: Digital and Computational Pathology, 124711A (6 April 2023); https://doi.org/10.1117/12.2654036

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