Search Results - "Journal of imaging informatics in medicine"

Polyp Segmentation Using a Hybrid Vision Transformer and a Hybrid Loss Function by Goceri, Evgin

“…Accurate and early detection of precursor adenomatous polyps and their removal at the early stage can significantly decrease the mortality rate and the…”
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Classification of Lung Diseases Using an Attention-Based Modified DenseNet Model by Chutia, Upasana, Tewari, Anand Shanker, Singh, Jyoti Prakash, Raj, Vikash Kumar

“…Lung diseases represent a significant global health threat, impacting both well-being and mortality rates. Diagnostic procedures such as Computed Tomography…”
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TriConvUNeXt: A Pure CNN-Based Lightweight Symmetrical Network for Biomedical Image Segmentation by Ma, Chao, Gu, Yuan, Wang, Ziyang

“…Biomedical image segmentation is essential in clinical practices, offering critical insights for accurate diagnosis and strategic treatment approaches…”
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A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System by Lubbad, Mohammed A. H, Kurtulus, Ikbal Leblebicioglu, Karaboga, Dervis, Kilic, Kerem, Basturk, Alper, Akay, Bahriye, Nalbantoglu, Ozkan Ufuk, Yilmaz, Ozden Melis Durmaz, Ayata, Mustafa, Yilmaz, Serkan, Pacal, Ishak

“…This study aims to provide an effective solution for the autonomous identification of dental implant brands through a deep learning-based computer diagnostic…”
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Accuracy Analysis of 3D Bone Fracture Models: Effects of Computed Tomography (CT) Imaging and Image Segmentation by Bittner-Frank, Martin, Strassl, Andreas, Unger, Ewald, Hirtler, Lena, Eckhart, Barbara, Koenigshofer, Markus, Stoegner, Alexander, Nia, Arastoo, Popp, Domenik, Kainberger, Franz, Windhager, Reinhard, Moscato, Francesco, Benca, Emir

“…The introduction of three-dimensional (3D) printed anatomical models has garnered interest in pre-operative planning, especially in orthopedic and trauma…”
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From CNN to Transformer: A Review of Medical Image Segmentation Models by Yao, Wenjian, Bai, Jiajun, Liao, Wei, Chen, Yuheng, Liu, Mengjuan, Xie, Yao

“…Medical image segmentation is an important step in medical image analysis, especially as a crucial prerequisite for efficient disease diagnosis and treatment…”
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CT-Based Evaluation of the Shape of the Diaphragm Using 3D Slicer by Taton, Olivier, Van Muylem, Alain, Leduc, Dimitri, Gevenois, Pierre Alain

“…The diaphragm is the main inspiratory muscle and separates the thorax and the abdomen. In COPD, the evaluation of the diaphragm shape is clinically important,…”
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Developing a Radiomics Atlas Dataset of normal Abdominal and Pelvic computed Tomography (RADAPT) by Kapetanou, Elisavet, Malamas, Stylianos, Leventis, Dimitrios, Karantanas, Apostolos H, Klontzas, Michail E

“…Atlases of normal genomics, transcriptomics, proteomics, and metabolomics have been published in an attempt to understand the biological phenotype in health…”
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Privacy-Preserving Breast Cancer Classification: A Federated Transfer Learning Approach by S, Selvakanmani, Dharani Devi, G, V, Rekha, Jeyalakshmi, J

“…Breast cancer is deadly cancer causing a considerable number of fatalities among women in worldwide. To enhance patient outcomes as well as survival rates,…”
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A Systematic Review on Caries Detection, Classification, and Segmentation from X-Ray Images: Methods, Datasets, Evaluation, and Open Opportunities by Zanini, Luiz Guilherme Kasputis, Rubira-Bullen, Izabel Regina Fischer, Nunes, Fátima de Lourdes Dos Santos

“…Dental caries occurs from the interaction between oral bacteria and sugars, generating acids that damage teeth over time. The importance of X-ray images for…”
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GA-UNet: A Lightweight Ghost and Attention U-Net for Medical Image Segmentation by Pang, Bo, Chen, Lianghong, Tao, Qingchuan, Wang, Enhui, Yu, Yanmei

“…U-Net has demonstrated strong performance in the field of medical image segmentation and has been adapted into various variants to cater to a wide range of…”
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Checklist for Reproducibility of Deep Learning in Medical Imaging by Moassefi, Mana, Singh, Yashbir, Conte, Gian Marco, Khosravi, Bardia, Rouzrokh, Pouria, Vahdati, Sanaz, Safdar, Nabile, Moy, Linda, Kitamura, Felipe, Gentili, Amilcare, Lakhani, Paras, Kottler, Nina, Halabi, Safwan S, Yacoub, Joseph H, Hou, Yuankai, Younis, Khaled, Erickson, Bradley J, Krupinski, Elizabeth, Faghani, Shahriar

“…The application of deep learning (DL) in medicine introduces transformative tools with the potential to enhance prognosis, diagnosis, and treatment planning…”
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Development and Validation of Multimodal Models to Predict the 30-Day Mortality of ICU Patients Based on Clinical Parameters and Chest X-Rays by Lin, Jiaxi, Yang, Jin, Yin, Minyue, Tang, Yuxiu, Chen, Liquan, Xu, Chang, Zhu, Shiqi, Gao, Jingwen, Liu, Lu, Liu, Xiaolin, Gu, Chenqi, Huang, Zhou, Wei, Yao, Zhu, Jinzhou

“…We aimed to develop and validate multimodal ICU patient prognosis models that combine clinical parameters data and chest X-ray (CXR) images. A total of 3798…”
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An Intuitionistic Fuzzy C-Means and Local Information-Based DCT Filtering for Fast Brain MRI Segmentation by Singh, Chandan, Ranade, Sukhjeet Kaur, Kaur, Dalvinder, Bala, Anu

“…Structural and photometric anomalies in the brain magnetic resonance images (MRIs) affect the segmentation performance. Moreover, a sudden change in intensity…”
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The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks by Chen, Wutong, Junsheng, Du, Chen, Yanzhen, Fan, Yifeng, Liu, Hengzhi, Tan, Chang, Shao, Xuanming, Li, Xinzhi

“…We aimed to develop and validate a deep convolutional neural network (DCNN) model capable of accurately identifying spondylolysis or spondylolisthesis on…”
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An Automated Multi-scale Feature Fusion Network for Spine Fracture Segmentation Using Computed Tomography Images by Saeed, Muhammad Usman, Bin, Wang, Sheng, Jinfang, Mobarak Albarakati, Hussain

“…Spine fractures represent a critical health concern with far-reaching implications for patient care and clinical decision-making. Accurate segmentation of…”
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Automated Detection of COVID-19 from Multimodal Imaging Data Using Optimized Convolutional Neural Network Model by Veluchamy, S, Sudharson, S, Annamalai, R, Bassfar, Zaid, Aljaedi, Amer, Jamal, Sajjad Shaukat

“…The incidence of COVID-19, a virus that is responsible for infections in the upper respiratory tract and lungs, witnessed a daily rise in fatalities throughout…”
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Robust Ensemble of Two Different Multimodal Approaches to Segment 3D Ischemic Stroke Segmentation Using Brain Tumor Representation Among Multiple Center Datasets by Jeong, Hyunsu, Lim, Hyunseok, Yoon, Chiho, Won, Jongjun, Lee, Grace Yoojin, de la Rosa, Ezequiel, Kirschke, Jan S, Kim, Bumjoon, Kim, Namkug, Kim, Chulhong

“…Ischemic stroke segmentation at an acute stage is vital in assessing the severity of patients’ impairment and guiding therapeutic decision-making for…”
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Enhancing Nasopharyngeal Carcinoma Survival Prediction: Integrating Pre- and Post-Treatment MRI Radiomics with Clinical Data by Dang, Luong Huu, Hung, Shih-Han, Le, Nhi Thao Ngoc, Chuang, Wei-Kai, Wu, Jeng-You, Huang, Ting-Chieh, Le, Nguyen Quoc Khanh

“…Recurrences are frequent in nasopharyngeal carcinoma (NPC) despite high remission rates with treatment, leading to considerable morbidity. This study aimed to…”
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An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate Cancer by Li, Yang, Imami, Maliha R, Zhao, Linmei, Amindarolzarbi, Alireza, Mena, Esther, Leal, Jeffrey, Chen, Junyu, Gafita, Andrei, Voter, Andrew F, Li, Xin, Du, Yong, Zhu, Chengzhang, Choyke, Peter L, Zou, Beiji, Jiao, Zhicheng, Rowe, Steven P, Pomper, Martin G, Bai, Harrison X

“…Uptake segmentation and classification on PSMA PET/CT are important for automating whole-body tumor burden determinations. We developed and evaluated an…”
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