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20172022
most citedA systematic study of the class imbalance problem in convolutional neural networks

3.1k citations · 3.6k across the 5 of their papers we have counts for

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Showing 2020Show all

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eess.IV2020★ 108 cited

Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model

Mateusz Buda, Ashirbani Saha, Ruth Walsh +5

Breast cancer screening is one of the most common radiological tasks with over 39 million exams performed each year. While breast cancer screening has been one of the most studied…