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Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response

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Year: 2018
Type: conference-paper
Source: Lecture notes in computer science
DOI: 10.1007/978-3-030-00807-9_4
Authors: Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu
Institutions: Memorial Sloan Kettering Cancer Center, Huazhong University of Science and Technology, Henry Ford Hospital, University of Maryland, Baltimore
Language: English

Topic: Radiomics and Machine Learning in Medical Imaging
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: green
OpenAlex ID: W2888642555
FWCI: 4.587
Cites: 14
Cited by: 16
Related to: 10
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