94 citations
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eess.IV2023★ 1 cited
A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy
Michail Mamalakis, Sarah C. Macfarlane, Scott V. Notley +2
We developed a transparent computational large-scale imaging-based framework that can distinguish between normal and metastasizing human cells. The method relies on fluorescence mi…
eess.IV2021★ 94 cited
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
Michail Mamalakis, Andrew J. Swift, Bart Vorselaars +6
The global pandemic of COVID-19 is continuing to have a significant effect on the well-being of global population, increasing the demand for rapid testing, diagnosis, and treatment…