DOI: 10.1016/j.ijrobp.2016.06.2380
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Automatic Skull Stripping in Computed Tomographic Images Based on K-Means Statistical Classifier for Radiation Therapy Planning

Abstract: Purpose/Objective(s): PET/CT has a key role in the management of esophageal cancer; however, improved prediction models would be useful for clinical decision making. In particular, ability to predict pathologic complete response (pCR) to chemoradiation would help spare patients from an esophagectomy, a high-risk procedure with significant morbidity. Machine learning is a promising approach to develop models that can predict unseen data, but the efficacy of these models in predicting the onset of esophageal can… Show more

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