MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
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DOI: 10.1016/j.media.2022.102423
Abstract: Accurate prediction of pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) is essential for clinical precision treatment. However, the existing methods of predicting pCR in esophageal cancer are based on the single stage data, which… read more here.
Keywords: loss disentangled; disentangled representation; esophageal cancer; loss ... See more keywords