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cs.CV2021
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays
Rachael Harkness, Geoff Hall, Alejandro F Frangi +2
Since the emergence of COVID-19, deep learning models have been developed to identify COVID-19 from chest X-rays. With little to no direct access to hospital data, the AI community…
eess.IV2021
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images
Jack Breen, Kieran Zucker, Nicolas M. Orsi +1
Breast cancer is the most commonly diagnosed cancer worldwide, with over two million new cases each year. During diagnostic tumour grading, pathologists manually count the number o…