Search Results - "Gwak, Jeonghwan"
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MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers
Published in Sensors (Basel, Switzerland) (22-03-2021)“…Brain tumor classification plays an important role in clinical diagnosis and effective treatment. In this work, we propose a method for brain tumor…”
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2
Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images
Published in IEEE access (2019)“…Colorectal cancer is the second most frequently diagnosed cancer in women and the third most frequently diagnosed cancer in men. At least 80%-95% of the…”
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3
Densely attention mechanism based network for COVID-19 detection in chest X-rays
Published in Scientific reports (06-01-2023)“…Automatic COVID-19 detection using chest X-ray (CXR) can play a vital part in large-scale screening and epidemic control. However, the radiographic features of…”
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4
Feature-level ensemble approach for COVID-19 detection using chest X-ray images
Published in PloS one (14-07-2022)“…Severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), also known as the coronavirus disease 2019 (COVID-19), has threatened many human beings around…”
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5
SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation
Published in Scientific reports (05-06-2023)“…Diabetic retinopathy (DR) is a diabetes complication that can cause vision loss among patients due to damage to blood vessels in the retina. Early retinal…”
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6
Power Aggregation Operators and VIKOR Methods for Complex q-Rung Orthopair Fuzzy Sets and Their Applications
Published in Mathematics (Basel) (01-04-2020)“…The aim of this paper is to present the novel concept of Complex q-rung orthopair fuzzy set (Cq-ROFS) which is a useful tool to cope with unresolved and…”
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7
Prioritization of thermal energy techniques by employing picture fuzzy soft power average and geometric aggregation operators
Published in Scientific reports (30-01-2023)“…Energy storage is a way of storing energy to reduce imbalances between demand and energy production. The ability to store electricity and use it later is one…”
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8
Hybrid integrated decision-making algorithm for clustering analysis based on a bipolar complex fuzzy and soft sets
Published in Alexandria engineering journal (01-03-2023)“…Data clustering is an instrumental tool in the area of energy management resources, marketing, and business. Clustering helps to increase productivity,…”
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9
Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography
Published in Applied sciences (01-10-2019)“…The accurate localization and classification of lung abnormalities from radiological images are important for clinical diagnosis and treatment strategies…”
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10
Utilizing Knowledge Distillation in Deep Learning for Classification of Chest X-ray Abnormalities
Published in IEEE access (01-01-2020)“…Automatic screening and diagnosis of lung abnormalities from chest X-ray images has been recently drawing attention from the computer vision and medical…”
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11
An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network
Published in Sensors (Basel, Switzerland) (10-11-2021)“…In this paper, a model based on discrete wavelet transform and convolutional neural network for brain MR image classification has been proposed. The proposed…”
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12
Lymphocyte detection for cancer analysis using a novel fusion block based channel boosted CNN
Published in Scientific reports (28-08-2023)“…Tumor-infiltrating lymphocytes, specialized immune cells, are considered an important biomarker in cancer analysis. Automated lymphocyte detection is…”
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13
Attention-guided multi-scale deep object detection framework for lymphocyte analysis in IHC histological images
Published in Microscopy (08-02-2023)“…Tumor-infiltrating lymphocytes are specialized lymphocytes that can detect and kill cancerous cells. Their detection poses many challenges due to significant…”
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14
A new approach to investigate the effects of artificial neural networks based on bipolar complex spherical fuzzy information
Published in Complex & intelligent systems (01-08-2023)“…Artificial neural network is revolutionizing business and everyday life, bringing us to the next level in artificial intelligence. It has a unique ability to…”
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15
Ensemble Learning of Lightweight Deep Learning Models Using Knowledge Distillation for Image Classification
Published in Mathematics (Basel) (01-10-2020)“…In recent years, deep learning models have been used successfully in almost every field including both industry and academia, especially for computer vision…”
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16
Diagnosis of Alzheimer’s Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features
Published in Journal of healthcare engineering (01-01-2017)“…Alzheimer’s disease (AD) is a progressive, neurodegenerative brain disorder that attacks neurotransmitters, brain cells, and nerves, affecting brain functions,…”
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17
Anomalous Event Recognition in Videos Based on Joint Learning of Motion and Appearance with Multiple Ranking Measures
Published in Applied sciences (01-02-2021)“…Given the scarcity of annotated datasets, learning the context-dependency of anomalous events as well as mitigating false alarms represent challenges in the…”
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18
FFTransMOT: Feature-Fused Transformer for Enhanced Multi-Object Tracking
Published in IEEE access (2023)“…In the field of computer vision, multi-object tracking (MOT) is a crucial task. It involves the identification, tracking, and classification of multiple…”
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19
RAG-PaDiM: Residual Attention Guided PaDiM for Defects Segmentation in Railway Tracks
Published in Journal of electrical engineering & technology (01-03-2023)“…Railway tracks are facilities for trains that can efficiently transport large-scale objects and it is inevitable to occur track defects that threaten the…”
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A novel extended Portuguese of Interactive and Multi‐Criteria Decision Making and Archimedean Bonferroni mean operators based on prospect theory to select green supplier with complex q‐rung orthopair fuzzy information
Published in CAAI Transactions on Intelligence Technology (01-03-2023)“…The word sustainable or green supply chain refers to the concept of incorporating sustainable environmental procedures into the traditional supply chain. Green…”
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