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Results for “"Md. Omaer Faruq Goni"”

21+ results

Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images

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Md. Robiul Islam, Lway Faisal Abdulrazak, Md. Nahiduzzaman, Md. Omaer Faruq Goni et al.

Journal: Computers in Biology and MedicineYear: 2022Citations: 155

Diabetic Retinopathy (DR) is a major complication in human eyes among the diabetic patients. Early detection of the DR can save many patients from permanent blindness. Various artificial intelligent based systems have been proposed and they outperform human analysis in accurate detection of the DR. ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier

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Md. Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower et al.

Journal: Expert Systems with ApplicationsYear: 2023Citations: 128

Diabetic retinopathy (DR) is an incurable retinal condition caused by excessive blood sugar that, if left untreated, can result in even blindness. A novel automated technique for DR detection has been proposed in this paper. To accentuate the lesions, the fundus images (FIs) were preprocessed using ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI

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Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Mominul Ahsan et al.

Journal: SensorsYear: 2022Citations: 124

Diabetes is a chronic disease that continues to be a primary and worldwide health concern since the health of the entire population has been affected by it. Over the years, many academics have attempted to develop a reliable diabetes prediction model using machine learning (ML) algorithms. However, ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM

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Md. Jawadul Karim, Md. Omaer Faruq Goni, Md. Nahiduzzaman, Mominul Ahsan et al.

Journal: Scientific ReportsYear: 2024Citations: 95

Crop diseases can significantly affect various aspects of crop cultivation, including crop yield, quality, production costs, and crop loss. The utilization of modern technologies such as image analysis via machine learning techniques enables early and precise detection of crop diseases, hence empowe...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine

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Md. Omaer Faruq Goni, Md. Nahiduzzaman, Md. Shamim Anower, Md. Mahabubur Rahman et al.

Journal: e-Prime - Advances in Electrical Engineering Electronics and EnergyYear: 2023Citations: 79

To provide stability and a continuous supply of power, the detection and classification of faults in the transmission lines (TLs) are crucial in this modern age. It is required to remove a faulty section from a healthy section to provide safety and to minimize power loss due to the fault. In the con...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm

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Md. Nahiduzzaman, Md. Robiul Islam, S. M. Riazul Islam, Md. Omaer Faruq Goni et al.

Journal: IEEE AccessYear: 2021Citations: 77

This paper exploits the extreme learning machine (ELM) approach to address diabetic retinopathy (DR), a medical condition in which impairment occurs to the retina caused by diabetes. DR, a leading cause of blindness worldwide, is a sort of swelling leakage due to excessive blood sugar in the retina ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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An End-to-End Lightweight Multi-Scale CNN for the Classification of Lung and Colon Cancer with XAI Integration

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Mohammad Asif Hasan, Fariha Haque, Saifur Rahman Sabuj, Hasan Sarker et al.

Journal: TechnologiesYear: 2024Citations: 67

To effectively treat lung and colon cancer and save lives, early and accurate identification is essential. Conventional diagnosis takes a long time and requires the manual expertise of radiologists. The rising number of new cancer cases makes it challenging to process massive volumes of data quickly...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images

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Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Abu Sayeed et al.

Journal: SensorsYear: 2022Citations: 67

Malaria is a life-threatening disease caused by female anopheles mosquito bites. Various plasmodium parasites spread in the victim’s blood cells and keep their life in a critical situation. If not treated at the early stage, malaria can cause even death. Microscopy is a familiar process for diagnosi...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A Novel Method for Multivariant Pneumonia Classification Based on Hybrid CNN-PCA Based Feature Extraction Using Extreme Learning Machine With CXR Images

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Md. Nahiduzzaman, Md. Omaer Faruq Goni, Md. Shamim Anower, Md. Robiul Islam et al.

Journal: IEEE AccessYear: 2021Citations: 66

In this era of COVID19, proper diagnosis and treatment for pneumonia are very important. Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia. An experienced radiologist is required for this. However, even for an experienced radiographer, it is quite difficult a...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19

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Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, Md. Robiul Islam et al.

Journal: Expert Systems with ApplicationsYear: 2023Citations: 65

Numerous epidemic lung diseases such as COVID-19, tuberculosis (TB), and pneumonia have spread over the world, killing millions of people. Medical specialists have experienced challenges in correctly identifying these diseases due to their subtle differences in Chest X-ray images (CXR). To assist th...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator

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Md. Omaer Faruq Goni, Md. Nazrul Islam Mondal, S. M. Riazul Islam, Md. Nahiduzzaman et al.

Journal: IEEE AccessYear: 2023Citations: 38

Malaria, a life-threatening disease worldwide, can be diagnosed using antigen tests and microscopy tests. However, both of them are erroneous and time-consuming. Therefore, a trustworthy and fast early malaria prognosis infrastructure is required. In this age of machine learning (ML), there are seve...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture

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Md. Nahiduzzaman, Md. Omaer Faruq Goni, Md. Robiul Islam, Abu Sayeed et al.

Journal: Journal of Applied BiomedicineYear: 2023Citations: 31

Around the world, several lung diseases such as pneumonia, cardiomegaly, and tuberculosis (TB) contribute to severe illness, hospitalization or even death, particularly for elderly and medically vulnerable patients. In the last few decades, several new types of lung-related diseases have taken the l...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Graduate Admission Chance Prediction Using Deep Neural Network

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Md. Omaer Faruq Goni, Abdul Matin, Tonmoy Hasan, Md. Abu Ismail Siddique et al.

Journal: 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)Year: 2020Citations: 23

Every year many students apply for graduate admission to different universities. To select an applicant, each university has different selection criteria such as GRE score, CGPA, research background, statement of purpose, letter of recommendation, university rating etc. There are some web applicatio...

Physical SciencesComputer ScienceComputer Science Applications
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Breast Cancer Detection using Deep Neural Network

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Md. Omaer Faruq Goni, Fahim Md. Sifnatul Hasnain, Md. Abu Ismail Siddique, Oishi Jyoti et al.

Year: 2020Citations: 14

In recent years, the number of breast cancer patients has increased rapidly. To increase the survival rate, the early diagnosis of breast cancer is very important. Hence, a trustworthy diagnosis and detection process is required. Automatic detection processes will be very helpful for medical practit...

Physical SciencesComputer ScienceArtificial Intelligence
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A Comparative Analysis of Feature Extraction Methods for Human Opinion Grouping Using Several Machine Learning Techniques

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Tonmoy Hasan, Abdul Matin, Mahammed Kamruzzaman, Sanzida Islam et al.

Journal: 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)Year: 2020Citations: 11

Opinion analysis is one kind of text mining that aims to find out human opinions and emotions towards any particular event, topic, or subject. Feature extraction is one of the most crucial steps in the text categorization process and an efficient feature extraction method can greatly enhance the acc...

Physical SciencesComputer ScienceArtificial Intelligence
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Explainable AI Based Malaria Detection Using Lightweight CNN

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Md. Omaer Faruq Goni, Md. Nazrul Islam Mondal

Year: 2023Citations: 9

A customized lightweight Convolutional Neural Network (CNN) for the fastest malaria detection from RBC images with explainability is presented in this study. Accuracy, precision, recall, f1-score and number of model parameters are considered for evaluating the proposed method. It is called lightweig...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Performance Analysis of Classifier for Chronic Kidney Disease Prediction Using SVM, DNN and KNN

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Md. Omaer Faruq Goni, Abdul Matin, Tonmoy Hasan, Md. Rafidul Islam Sarker

Journal: Lecture notes on data engineering and communications technologiesYear: 2021Citations: 4
Health SciencesHealth ProfessionsHealth Information Management
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Classification of X-Ray Images for the Automated Severity Grading of Knee Osteoarthritis by Ensemble Learning Through EfficientNet Architectures with Grad-CAM Visualization

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Sajid Fardin Dipto, Md. Omaer Faruq Goni

Year: 2024Citations: 3

Knee osteoarthritis (KOA) is a degenerative form of arthritis in the knee joints commonly occurring in old-aged individuals which can cause extreme pain, deterioration of bone joints, joint membranes or ligaments, and irregularity in the knee joints. Being affected by KOA, individuals experience lim...

Physical SciencesEngineeringBiomedical Engineering
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Explainable Automated Brain Tumor Detection Using CNN

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Mohammad Asif Hasan, Hasan Sarker, Md. Omaer Faruq Goni

Journal: Lecture notes in networks and systemsYear: 2024Citations: 2
Life SciencesNeuroscienceNeurology
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Multiple Major Ocular Disease Classification Using Deep Learning Methods: A Comprehensive Review

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Md. Shafayat Tazoar, Oishi Jyoti, Md. Omaer Faruq Goni, Md. Mahabubur Rahman

Year: 2024Citations: 2

Ocular diseases have become an important issue worldwide. Every year, various ocular diseases affect numerous individuals, leading to blindness for many. Despite seeking treatment in hospitals or from doctors, accurately diagnosing the disease remains a challenge. In numerous cases, the correct diag...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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