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20212026
most citedDoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images

34 citations · 73 across the 5 of their papers we have counts for

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eess.IV2022★ 34 cited

DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images

Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed +3

Accurate segmentation of the region of interest in medical images can provide an essential pathway for devising effective treatment plans for life-threatening diseases. It is still…

eess.IV2022★ 27 cited

Classification of Human Monkeypox Disease Using Deep Learning Models and Attention Mechanisms

Md. Enamul Haque, Md. Rayhan Ahmed, Razia Sultana Nila +1

As the world is still trying to rebuild from the destruction caused by the widespread reach of the COVID-19 virus, and the recent alarming surge of human monkeypox disease outbreak…