Results 21 to 30 of about 1,434,666 (119)
MEDICAL IMAGE ENCRYPTION USING DNA ENCODING AND MODIFIED CIRCULAR SHIFT
Barekeng, 2022 This paper proposes a new encryption method for the encryption of medical images. The method is used to divide the image into several blocks and then scramble the image blocks using DNA chains and then shift the pixels in a circle with certain rules.
Kiswara Agung Santoso +2 more
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Combination of Transfer Learning Methods for Kidney Glomeruli Image Classification
Applied Sciences, 2022 The rising global incidence of chronic kidney disease necessitates the development of image categorization of renal glomeruli. COVID-19 has been shown to enter the glomerulus, a tissue structure in the kidney.
Hsi-Chieh Lee, Ahmad Fauzan Aqil
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Design and Development of Medical Image Processing Experiment System Based on IDL Language [PDF]
International Journal Bioautomation, 2019 This paper uses Interactive Data Language (IDL) as a development language to design and implement a lung tumor image processing system with a Client/Server (C/S) structure.
Wei Xie
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Scientific Reports, 2017 In this paper, we present an original multiple atlases level set framework (MALSF) for automatic, accurate and robust thalamus segmentation in magnetic resonance images (MRI). The contributions of the MALSF method are twofold.
Minghui Zhang +3 more
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Lumbar Disc Herniation Automatic Detection in Magnetic Resonance Imaging Based on Deep Learning
Frontiers in Bioengineering and Biotechnology, 2021 Background: Lumbar disc herniation (LDH) is among the most common causes of lower back pain and sciatica. The causes of LDH have not been fully elucidated but most likely involve a complex combination of mechanical and biological processes.
Jen-Yung Tsai +10 more
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The Egyptian Journal of Radiology and Nuclear MedicineBackground Macromastia, characterized by an increase in breast size, poses challenges such as elevated body burden and chest oppression, potentially leading to cardiac and pulmonary overload.
Xiaoshi Li +6 more
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Cache-Enabled Device to Device Networks With Contention-Based Multimedia Delivery
IEEE Access, 2017 This paper studies the performance of large-scale cache-enabled device-to-device (D2D) networks with homogeneous Poisson point process distributed mobile helpers(MHs) and user equipments (UEs). The MHs are assumed to have caching capabilities and able to
Xiaoshi Song +5 more
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Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning
Frontiers in Artificial Intelligence, 2021 Cervical cancer is a very common and severe disease in women worldwide. Accurate prediction of its clinical outcomes will help adjust or optimize the treatment of cervical cancer and benefit the patients.
Wei Luo
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Regression to Classification: Ordinal Prediction of Calcified Vessels Using Customized ResNet50
IEEE Access, 2023 A substantial percentage of women die from cardiovascular disease (CVD). Computed tomography (CT) scan helps predict/monitor CVD-related diseases. However, previous studies found relation to assessing the risk of CVD by estimating severity of breast ...
Hosna Asma-Ull, Il Dong Yun, Bo La Yun
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Applied Sciences, 2020 Malignant lesions are a huge threat to human health and have a high mortality rate. Locating the contour of organs is a preparation step, and it helps doctors diagnose correctly.
Chen Li, Wei Chen, Yusong Tan
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