@article{Arlt19_APD,
    type = {article},
    key = {Arlt19_APD},
    title = {Automated Polyp Differentiation on Coloscopic Data using Semantic Segmentation with CNNs},
    author = {Marie Arlt and Jack Peter and Sven Sickert and Clemens-Alexander Brust and Joachim Denzler and Andreas Stallmach},
    journal = {Endoscopy},
    year = {2019},
    number = {04},
    pages = {4},
    volume = {51},
    abstract = {Interval carcinomas are a commonly known problem in endoscopic adenoma detection, especially when they follow negative index colonoscopy. To prevent patients from these carcinomas and support the endoscopist, we reach for a live assisted system in the future, which helps to remark polyps and increase adenoma detection rate. We present our first results of polyp recognition using a machine learning approach.},
    doi = {10.1055/s-0039-1681180},
    groups = {biomedical,semanticsegmentation,cancer_research},
    url = {https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0039-1681180},
}