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20212026
most citedBreast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network

80 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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eess.IV2025

Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection

Jimi Togni, Romis Attux

This study presents a comparative analysis of methods for detecting COVID-19 infection in radiographic images. The images, sourced from publicly available datasets, were categorize…

eess.IV2021★ 80 cited

Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network

Daniel G. P. Petrini, Carlos Shimizu, Rosimeire A. Roela +3

Some recent studies have described deep convolutional neural networks to diagnose breast cancer in mammograms with similar or even superior performance to that of human experts. On…