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Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks
May 3, 2024, 4:58 a.m. | Matthias Streller, So\v{n}a Michl\'ikov\'a, Willy Ciecior, Katharina L\"onnecke, Leoni A. Kunz-Schughart, Steffen Lange, Anja Voss-B\"ohme
cs.CV updates on arXiv.org arxiv.org
Abstract: Multicellular tumor spheroids (MCTS) are advanced cell culture systems for assessing the impact of combinatorial radio(chemo)therapy. They exhibit therapeutically relevant in-vivo-like characteristics from 3D cell-cell and cell-matrix interactions to radial pathophysiological gradients related to proliferative activity and nutrient/oxygen supply, altering cellular radioresponse. State-of-the-art assays quantify long-term curative endpoints based on collected brightfield image time series from large treated spheroid populations per irradiation dose and treatment arm. Here, spheroid control probabilities are documented analogous to in-vivo …
abstract advanced art arxiv cellular convolutional cs.cv culture image impact interactions matrix networks q-bio.qm q-bio.to radio segmentation state systems therapy type
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