Interpretable and Annotation-Efficient Learning for Medical Image Computing Jaim
Titel: Interpretable and Annotation-Efficient Learning for Medical Image Computing, Untertitel: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, Einband: Taschenbuch, Autor: Jaime Cardoso, Verlag: Springer International Publishing, Springer Nature Switzerland, Sprache: Englisch, Seiten: 316, Maße: 235x155x18 mm, Gewicht: 482 g, Verkäufer: buch-mimpf, Schlagworte: Artificial Intelligence Bioinformatics Computer vision Image Analysis Image reconstruction Image segmentation Imaging systems Imperfect Data Machine Learning Medical image analysis Neural Networks classification deep learning image processing medical images pattern recognition.
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