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Analyzing tumor lesions in PET/CT images using deep learning methods and physiological models

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The detection of pathological lesions plays an important role in the diagnostic and therapeutic assessment of various oncological disorders. Medical imaging provides a visualized way to keep track of tumor status. On the other hand, tumor hypoxia, which characterizes a depletion of oxygen (O2) supply, is a major factor that impedes radiotherapy. Based on the above concerns the dissertation consists of two parts, which explores to automatically detect tumor using deep learning methods, and also investigates the characteristics of chronic and acute hypoxia.

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Analyzing tumor lesions in PET/CT images using deep learning methods and physiological models, Lina Xu

Język
Rok wydania
2019
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Tytuł
Analyzing tumor lesions in PET/CT images using deep learning methods and physiological models
Język
angielski
Autorzy
Lina Xu
Wydawca
Dr. Hut
Rok wydania
2019
ISBN10
3843939292
ISBN13
9783843939294
Seria
Opis
The detection of pathological lesions plays an important role in the diagnostic and therapeutic assessment of various oncological disorders. Medical imaging provides a visualized way to keep track of tumor status. On the other hand, tumor hypoxia, which characterizes a depletion of oxygen (O2) supply, is a major factor that impedes radiotherapy. Based on the above concerns the dissertation consists of two parts, which explores to automatically detect tumor using deep learning methods, and also investigates the characteristics of chronic and acute hypoxia.