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Jens Rittscher

3 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. Ink removal from histopathology whole slide images by combining\n classification, detection and image generation models

    2019 · arXiv (Cornell University)

    Histopathology slides are routinely marked by pathologists using permanent\nink markers that should not be removed as they form part of the medical record.\nOften tumour regions are marked up for the purpose of highlighting features or\nother …

  2. Flexible and Highly-Efficient Feature Perception for Molecular Traits Prediction via Self-interactive Deep Learning

    2023 · medRxiv

    ABSTRACT Predicting disease-related molecular traits from histomorphology brings great opportunities for precision medicine. Despite the rich information present in histopathological images, extracting fine-grained molecular features from standard whole slide images (WSI) is non-trivial. The task …

  3. Leveraging Inter-Annotator Disagreement for Semi-Supervised Segmentation

    2023

    The low signal-to-noise ratio typically found in biomedical images often leads experts to disagree about the underlying ground-truth segmentation. While existing approaches for multiple annotations try to resolve conflicting annotations, we instead focus on efficiently …