June 11, 2024, 4:51 a.m. | Marek Wodzinski, Kamil Kwarciak, Mateusz Daniol, Daria Hemmerling

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.06372v1 Announce Type: new
Abstract: Modeling and manufacturing of personalized cranial implants are important research areas that may decrease the waiting time for patients suffering from cranial damage. The modeling of personalized implants may be partially automated by the use of deep learning-based methods. However, this task suffers from difficulties with generalizability into data from previously unseen distributions that make it difficult to use the research outcomes in real clinical settings. Due to difficulties with acquiring ground-truth annotations, different techniques …

abstract arxiv augmentation automated cs.ai cs.cv data deep learning diffusion diffusion models image important improving latent diffusion models manufacturing modeling patients personalized registration research type waiting

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