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Results for “"Emtiaz Hussain"”

5 results

CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images

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Emtiaz Hussain, Mahmudul Hasan, Anisur Rahman, Ickjai Lee et al.

Journal: Chaos Solitons & FractalsYear: 2020Citations: 454

Highlights • A 22-layer CNN architecture, which has achieved an accuracy of 99.1% for 2 class classification, 94.2% for 3 class classification, and 91.2% for 4 class classification. To the best of our knowledge, the accuracy of our proposed CoroDet method is higher than the state-of-the-art method f...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Deep Learning Based Binary Classification for Alzheimer’s Disease Detection using Brain MRI Images

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Emtiaz Hussain, Mahmudul Hasan, Syed Zafrul Hassan, Tanzina Hassan Azmi et al.

Year: 2020Citations: 103

Alzheimer’s disease is an irremediable, continuous brain disorder that gradually destroys memory and thinking skills and, eventually, the ability to carry out the simplest tasks. It has become one of the critical diseases throughout the world. Moreover, there is no remedy for Alzheimer’s disease. Ma...

Life SciencesNeuroscienceNeurology
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Multi -Classification based Alzheimer's Disease Detection with Comparative Analysis from Brain MRI Scans using Deep Learning

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Azmain Kabir, Farishta Kabir, Md. Abu Hasib Mahmud, Sanzida Alam Sinthia et al.

Journal: TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)Year: 2021Citations: 17

The neurodegenerative Alzheimer's Disease is the most widely recognized cause of ‘Dementia’ and was allegedly the 7th highest cause of death globally. Yet, there is still no conclusive test for distinguishing Alzheimer's disease. Our proposed model eliminates these challenges in a significant manner...

Life SciencesNeuroscienceNeurology
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CovRoot: COVID-19 detection based on chest radiology imaging techniques using deep learning

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Ahashan Habib Niloy, Sadaf Fahim, Mohammad Zavid Parvez, Shammi Akhter Shiba et al.

Journal: Frontiers in Signal ProcessingYear: 2024Citations: 2

The world first came to know the existence of COVID-19 (SARS-CoV-2) in December 2019. Initially, doctors struggled to diagnose the increasing number of patients due to less availability of testing kits. To help doctors primarily diagnose the virus, researchers around the world have come up with some...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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CoroPy: A Deep Learning Based Comparison Between X-Ray and CT Scan Images in Covid-19 Detection and Classification

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Md. Jamil-Ur Rahman, Ahashan Habib Niloy, Shammi Akhter Shiba, Sadaf Fahim et al.

Journal: Lecture notes in computer scienceYear: 2021Citations: 2
Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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