Tellez, David
Radboud University Medical Center
3 papers on CoChatORCID 0000-0001-8500-2491
Most cited papers
- Verified
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
Ehteshami Bejnordi, B., Veta, M., Johannes van Diest, P., van Ginneken, B., Karssemeijer, N., Litjens, G., van der Laak, J. A. W. M., and the CAMELYON16 Consortium, Hermsen, M., Manson, Q. F., et al. (2017) · JAMA
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 3,293
- Verified
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
Tellez, D., Litjens, G., Bándi, P., Bulten, W., Bokhorst, J.-M., Ciompi, F., & van der Laak, J. (2019) · Medical Image Analysis
AI in cancer detectionDigital Imaging for Blood Diseases
Cited by 649
- Verified
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
Tellez, D., Balkenhol, M., Otte-Höller, I., van de Loo, R., Vogels, R., Bult, P., Wauters, C., Vreuls, W., Mol, S., Karssemeijer, N., et al. (2018) · IEEE Transactions on Medical Imaging
AI in cancer detectionCell Image Analysis Techniques
Cited by 288
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