A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer

High-grade serous ovarian carcinoma (HGSOC) is characterised by significant spatial and temporal heterogeneity, typically manifesting at an advanced metastatic stage. A major challenge in treating advanced HGSOC is effectively monitoring localised change in tumour burden across multiple sites during...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	Machado, Inês P, Reithmeir, Anna, Kogl, Fryderyk, Rundo, Leonardo, Funingana, Gabriel, Reinius, Marika, Gift Mungmeeprued, Gao, Zeyu, McCague, Cathal, Kerfoot, Eric, Woitek, Ramona, Sala, Evis, Ou, Yangming, Brenton, James, Schnabel, Julia, Crispin, Mireia
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cancer Chemotherapy Coders Computed tomography Deformation effects Formability Heterogeneity Image acquisition Image contrast Image enhancement Image registration Medical imaging Metastasis Ovarian cancer Registration Soft tissues Survival Tumors
Online-Zugang:	Volltext
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