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Ronneberger, P. Fischer, and T. Brox: “U-Net: Convolutional Net- works for Biomedical Image Segmentation,” 2015, doi.org/10.1007/ 978-3-319-24574-4_28. 31. Z. Zhou, et al.: “UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation,” IEEE Transactions on Medical Imaging, 2019, Vol. 39, p. 1856-1867. 32. Ö. Çiçek, et al.: “3D U-Net: Learning Dense Volumetric Segmen- tation from Sparse Annotation,” 2016, Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016, doi.org/10.1007/ 978-3-319-46723-8_49. 33. Segmentation Models Python API — Segmentation Models 0.1.2 documentation, 2022, segmentation-models.readthedocs.io/en/ latest/api.html#losses. 34. M.D. Zeiler: “ADADELTA: An Adaptive Learning Rate Method,” 2012, doi.org/10.48550/arXiv.1212.5701. ABOUT THE AUTHORS Kishansinh Rathod has been a scientific employee at the Materials Research Institute, Aalen University of Applied Sciences since 2022. He’s currently pursuing a Ph.D. in applied machine learning for materials science (material informatics) alongside his work. Rathod received his bachelor of science degree from Sardar Patel University Anand India in 2014. He holds a master's degree from The University of Pune, India, and one from SRH Hochschule Heidelberg. Sankeerth Desapogu completed his master’s degree in engineering sciences at TH Rosenheim and since 2021 has been a student and research assistant at Materials Research Institute Aalen. There he works on semantic segmentation with deep neural networks for 2D and 3D data as well as image feature extraction for regression models. His research interests include deep neural networks and computer vision. Andreas Jansche is currently pursuing his Ph.D. in applied machine learning for materials microscopy. He received his bachelor’s degree in computer science and his research master’s degree in advanced materials and manufacturing from Aalen University, Germany. He has been working as a research assistant at the Materials Research Institute Aalen since 2015 and as a software engineer for automated microscopy and machine learning solutions since 2012.
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