Search Results - "Gwak, Jeonghwan"

MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers by Kang, Jaeyong, Ullah, Zahid, Gwak, Jeonghwan

“…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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Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images by Kang, Jaeyong, Gwak, Jeonghwan

“…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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Densely attention mechanism based network for COVID-19 detection in chest X-rays by Ullah, Zahid, Usman, Muhammad, Latif, Siddique, Gwak, Jeonghwan

“…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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Feature-level ensemble approach for COVID-19 detection using chest X-ray images by Ho, Thi Kieu Khanh, Gwak, Jeonghwan

“…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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SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation by Ullah, Zahid, Usman, Muhammad, Latif, Siddique, Khan, Asifullah, Gwak, Jeonghwan

“…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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Power Aggregation Operators and VIKOR Methods for Complex q-Rung Orthopair Fuzzy Sets and Their Applications by Garg, Harish, Gwak, Jeonghwan, Mahmood, Tahir, Ali, Zeeshan

“…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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Prioritization of thermal energy techniques by employing picture fuzzy soft power average and geometric aggregation operators by Mahmood, Tahir, Ahmmad, Jabbar, Gwak, Jeonghwan, Jan, Naeem

“…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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Hybrid integrated decision-making algorithm for clustering analysis based on a bipolar complex fuzzy and soft sets by Gwak, Jeonghwan, Garg, Harish, Jan, Naeem

“…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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Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography by Ho, Thi Kieu, Gwak, Jeonghwan

“…The accurate localization and classification of lung abnormalities from radiological images are important for clinical diagnosis and treatment strategies…”
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Utilizing Knowledge Distillation in Deep Learning for Classification of Chest X-ray Abnormalities by Ho, Thi Kieu Khanh, Gwak, Jeonghwan

“…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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An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network by Fayaz, Muhammad, Torokeldiev, Nurlan, Turdumamatov, Samat, Qureshi, Muhammad Shuaib, Qureshi, Muhammad Bilal, Gwak, Jeonghwan

“…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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Lymphocyte detection for cancer analysis using a novel fusion block based channel boosted CNN by Rauf, Zunaira, Khan, Abdul Rehman, Sohail, Anabia, Alquhayz, Hani, Gwak, Jeonghwan, Khan, Asifullah

“…Tumor-infiltrating lymphocytes, specialized immune cells, are considered an important biomarker in cancer analysis. Automated lymphocyte detection is…”
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Attention-guided multi-scale deep object detection framework for lymphocyte analysis in IHC histological images by Rauf, Zunaira, Sohail, Anabia, Khan, Saddam Hussain, Khan, Asifullah, Gwak, Jeonghwan, Maqbool, Muhammad

“…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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A new approach to investigate the effects of artificial neural networks based on bipolar complex spherical fuzzy information by Gwak, Jeonghwan, Garg, Harish, Jan, Naeem, Akram, Bushra

“…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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Ensemble Learning of Lightweight Deep Learning Models Using Knowledge Distillation for Image Classification by Kang, Jaeyong, Gwak, Jeonghwan

“…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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Diagnosis of Alzheimer’s Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features by Lee, Sang-Woong, Park, Jeong-Seon, Gwak, Jeonghwan, Lama, Ramesh Kumar

“…Alzheimer’s disease (AD) is a progressive, neurodegenerative brain disorder that attacks neurotransmitters, brain cells, and nerves, affecting brain functions,…”
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Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges by Jha, Debesh, Sharma, Vanshali, Banik, Debapriya, Bhattacharya, Debayan, Roy, Kaushiki, Hicks, Steven A., Tomar, Nikhil Kumar, Thambawita, Vajira, Krenzer, Adrian, Ji, Ge-Peng, Poudel, Sahadev, Batchkala, George, Alam, Saruar, Ahmed, Awadelrahman M.A., Trinh, Quoc-Huy, Khan, Zeshan, Nguyen, Tien-Phat, Shrestha, Shruti, Nathan, Sabari, Gwak, Jeonghwan, Jha, Ritika K., Zhang, Zheyuan, Schlaefer, Alexander, Bhattacharjee, Debotosh, Bhuyan, M.K., Das, Pradip K., Fan, Deng-Ping, Parasa, Sravanthi, Ali, Sharib, Riegler, Michael A., Halvorsen, Pål, de Lange, Thomas, Bagci, Ulas

“…Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However,…”
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Anomalous Event Recognition in Videos Based on Joint Learning of Motion and Appearance with Multiple Ranking Measures by Dubey, Shikha, Boragule, Abhijeet, Gwak, Jeonghwan, Jeon, Moongu

“…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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FFTransMOT: Feature-Fused Transformer for Enhanced Multi-Object Tracking by Hu, Xufeng, Jeon, Younghoon, Gwak, Jeonghwan

“…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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RAG-PaDiM: Residual Attention Guided PaDiM for Defects Segmentation in Railway Tracks by Kim, Inki, Jeon, Younghoon, Kang, Jeong Won, Gwak, Jeonghwan

“…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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