Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations

In drug discovery, accurate lung tumor segmentation is an important step for assessing tumor size and its progression using \textit{in-vivo} imaging such as MRI. While deep learning models have been developed to automate this process, the focus has predominantly been on human subjects, neglecting th...

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Hauptverfasser:	Kaniewski, Piotr, Yousefi, Fariba, Hagos, Yeman Brhane, Qaiser, Talha, Burlutskiy, Nikolay
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Quantitative Biology - Quantitative Methods Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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