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Open AccessUnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues
Upcoming technologies enable routine collection of highly multiplexed (20–60 channel), subcellular resolution images of mammalian tissues for research and diagnosis. Extracting single cell data from such image...
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Article
Open AccessAuthor Correction: Virtual clinical trials identify effective combination therapies in ovarian cancer
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Article
Open AccessVirtual clinical trials identify effective combination therapies in ovarian cancer
A major issue in oncology is the high failure rate of translating preclinical results in successful clinical trials. Using a virtual clinical trial simulations approach, we present a mathematical framework to ...
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Article
18F-FDG-PET/CT based total metabolic tumor volume change during neoadjuvant chemotherapy predicts outcome in advanced epithelial ovarian cancer
To evaluate the predictive potential of total metabolic tumor volume (MTV) reduction during neoadjuvant chemotherapy (NACT) with 18F–FDG-PET/CT in an advanced FIGO stage III/IV epithelial ovarian cancer (EOC) pat...
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Article
Serum HE4 and CA125 as predictors of response and outcome during neoadjuvant chemotherapy of advanced high-grade serous ovarian cancer
Human epididymis protein 4 (HE4) is a novel tumour marker in epithelial ovarian cancer (EOC). Data on its profile and predictive potential for subsequent outcome after neoadjuvant chemotherapy (NACT) are still...