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20192026
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 · 115 across the 14 of their papers we have counts for

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Showing 2022Show all

4 papers · 1 filter

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…

cs.CL2022★ 8 cited

DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages

Mehedi Hasan Bijoy, Nahid Hossain, Salekul Islam +1

Spelling error correction is the task of identifying and rectifying misspelled words in texts. It is a potential and active research topic in Natural Language Processing because of…

cs.CV2022★ 1 cited

A Dynamic Weighted Tabular Method for Convolutional Neural Networks

Md Ifraham Iqbal, Md. Saddam Hossain Mukta, Ahmed Rafi Hasan

Traditional Machine Learning (ML) models like Support Vector Machine, Random Forest, and Logistic Regression are generally preferred for classification tasks on tabular datasets. T…