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Artificial Neural Networks and Pathologists Recognize Basal Cell Carcinomas Based on Different Histological Patterns by Susanne Kimeswenger; Philipp Tschandl; Petar Noack; Markus Hofmarcher; Elisabeth Rumetshofer; Harald Kindermann; Rene Silye; Sepp Hochreiter; Martin Kaltenbrunner; Emmanuella Guenova; Guenter Klambauer; Wolfram Hoetzenecker is a Medicine article available to read on EtoBox.
What is Artificial Neural Networks and Pathologists Recognize Basal Cell Carcinomas Based on Different Histological Patterns about?
Recent advances in artificial intelligence, particularly in the field of deep learning, have enabled researchers to create compelling algorithms for medical image analysis. Histological slides of basal cell carcinomas (BCCs), the most frequent skin tumor, are accessed by pathologists on a daily basis and are therefore well suited for automated prescreening by neural networks for the identification of cancerous regions and swift tumor classification.In this proof-of-concept study, we implemented an accurate and intuitively interpretable artificial neural network (ANN) for the detection of BCCs in histological whole-slide images (WSIs). Furthermore, we identified and compared differences in the diagnostic histological features and recognition patterns relevant for machine learning algorithms vs. expert pathologists.An attention-ANN was trained with WSIs of BCCs to identify tumor regions (n = 820). The diagnosis-relevant regions used by the ANN were compared to regions of interest for pathologists, detected by eye-tracking techniques.This ANN accurately identified BCC tumor regions on images of histologic slides (area under the ROC curve: 0.993, 95% CI: 0.990-0.995; sensitivity: 0.965
Who reads Artificial Neural Networks and Pathologists Recognize Basal Cell Carcinomas Based on Different Histological Patterns?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Susanne Kimeswenger; Philipp Tschandl; Petar Noack; Markus Hofmarcher; Elisabeth Rumetshofer; Harald Kindermann; Rene Silye; Sepp Hochreiter; Martin Kaltenbrunner; Emmanuella Guenova; Guenter Klambauer; Wolfram Hoetzenecker
- Publisher
- Elsevier BV
- Published
- 2020
- Language
- EN
- Field
- Medicine (Health Sciences)