Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks
Imaging of cancer with 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) has become a standard component of diagnosis and staging in oncology, and is becoming more important as a quantitative monitor of individual response to therapy. In this article we investigate the challenging problem of predicting a patient's response to neoadjuvant chemotherapy from a single 18F-FDG PET scan taken prior to treatment. We take a "radiomics" approach whereby a large amount of quantitative feat
Record details
Published: 10 September 2015
Source: OpenAlex
Category: Research
Topics: Healthcare · Finance, VC & PE
Retrieved: 14 July 2026
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ethics.ai (10 September 2015), “Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks,” evidence record 7699, https://ethics.ai/record/7699 (originally published by OpenAlex).
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