Jakob Nikolas Kather
3 papers in the PaperMetrix corpus
Papers by this author
-
Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets
2019 · bioRxiv (Cold Spring Harbor Laboratory)
Abstract In recent years, deep learning has unlocked unprecedented success in various domains, especially in image, text, and speech processing. These breakthroughs may hold promise for neuroscience and especially for brain-imaging investigators who start to …
-
Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review
2021 · European Journal of Cancer
BACKGROUND: Over the past decade, the development of molecular high-throughput methods (omics) increased rapidly and provided new insights for cancer research. In parallel, deep learning approaches revealed the enormous potential for medical image analysis, especially …
-
In-context learning enables multimodal large language models to classify cancer pathology images
2024 · arXiv (Cornell University)
Medical image classification requires labeled, task-specific datasets which are used to train deep learning networks de novo, or to fine-tune foundation models. However, this process is computationally and technically demanding. In language processing, in-context learning …