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You searched for: Author/Creator Brinker, Titus J.

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1. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. (April 2019)

2. Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification. (May 2021)

3. Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. (April 2019)

4. Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer. (5th May 2021)

5. Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours. (September 2021)

6. Deep learning can predict lymph node status directly from histology in colorectal cancer. (November 2021)

7. Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images. (September 2019)

8. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task. (May 2019)

9. Explainable artificial intelligence in skin cancer recognition: A systematic review. (May 2022)