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20202022
most citedDeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques

322 citations · 366 across the 6 of their papers we have counts for

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eess.IV2021★ 322 cited

DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques

Md Mamunur Rahaman, Chen Li, Yudong Yao +4

Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular screening to detect any precancerous lesions at early stages and treat them. Pap smea…

eess.IV2020

A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features

Chen Li, Jiawei Zhang, Frank Kulwa +2

SARS-CoV-2 has characteristics of wide contagion and quick propagation velocity. To analyse the visual information of it, we build a SARS-CoV-2 Microscopic Image Dataset (SC2-MID)…