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A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study.

, , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94172K. SPIE, (2015)

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A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94172K. SPIE, (2015)A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images., , , , , and . Comput. Methods Programs Biomed., (2017)Developing global image feature analysis models to predict cancer risk and prognosis., , , , , and . Vis. Comput. Ind. Biomed. Art, (2019)Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms., , , , , and . Int. J. Medical Informatics, (2020)Early Rumor Detection Based on Deep Recurrent Q-Learning., , , and . Secur. Commun. Networks, (2021)An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 978521. SPIE, (2016)Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 978520. SPIE, (2016)Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients., , , , , , , , , and . CoRR, (2023)Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms., , , , , , , and . CoRR, (2022)Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome., , , , , and . BMC Medical Imaging, (2016)