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arXiv · 1808.08230

Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer

Andrew A. Borkowski·Catherine P. Wilson·Steven A. Borkowski·Lauren A. Deland·Stephen M. Mastorides
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Abstract

Lung cancer continues to be a major healthcare challenge with high morbidity and mortality rates among both men and women worldwide. The majority of lung cancer cases are of non-small cell lung cancer type. With the advent of targeted cancer therapy, it is imperative not only to properly diagnose but also sub-classify non-small cell lung cancer. In our study, we evaluated the utility of using Apple Create ML module to detect and sub-classify non-small cell carcinomas based on histopathological images. After module optimization, the program detected 100% of non-small cell lung cancer images and successfully subclassified the majority of the images. Trained modules, such as ours, can be utilized in diagnostic smartphone-based applications, augmenting diagnostic services in understaffed areas of the world.

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Andrew A. Borkowski, Catherine P. Wilson, Steven A. Borkowski, Lauren A. Deland, Stephen M. Mastorides. 2018-08-24. Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer. https://arxiv.org/abs/1808.08230

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