Electrical Engineering and Systems Science > Image and Video Processing
arXiv:2311.15847 (eess)
[Submitted on 27 Nov 2023 (v1), last revised 16 May 2024 (this version, v2)]
Title:Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images
Authors:Arwa Al-Rubaian,Gozde N. Gunesli,Wajd A. Althakfi,Ayesha Azam,Nasir Rajpoot,Shan E Ahmed Raza
View a PDF of the paper titled Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images, by Arwa Al-Rubaian and 5 other authors
View PDFHTML (experimental)Abstract:Lung adenocarcinoma is a morphologically heterogeneous disease, characterized by five primary histologic growth patterns. The quantity of these patterns can be related to tumor behavior and has a significant impact on patient prognosis. In this work, we propose a novel machine learning pipeline capable of classifying tissue tiles into one of the five patterns or as non-tumor, with an Area Under the Receiver Operating Characteristic Curve (AUCROC) score of 0.97. Our model's strength lies in its comprehensive consideration of cellular spatial patterns, where it first generates cell maps from Hematoxylin and Eosin (H&E) whole slide images (WSIs), which are then fed into a convolutional neural network classification model. Exploiting these cell maps provides the model with robust generalizability to new data, achieving approximately 30% higher accuracy on unseen test-sets compared to current state of the art approaches. The insights derived from our model can be used to predict prognosis, enhancing patient outcomes.
| Subjects: | Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) |
| Cite as: | arXiv:2311.15847 [eess.IV] |
| (orarXiv:2311.15847v2 [eess.IV] for this version) | |
| https://doi.org/10.48550/arXiv.2311.15847 arXiv-issued DOI via DataCite |
Submission history
From: Arwa AlRubaian [view email][v1] Mon, 27 Nov 2023 14:12:51 UTC (9,919 KB)
[v2] Thu, 16 May 2024 09:19:05 UTC (9,920 KB)
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View a PDF of the paper titled Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images, by Arwa Al-Rubaian and 5 other authors
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