Evaluating Knowledge Transfer in the Neural Network for Medical Images
IEEE Access, 2023 The performance of deep learning models, such as convolutional neural networks (CNN)s, is highly dependent on the size of the training dataset. Consequently, it can be challenging to achieve satisfactory performance when training models from scratch in ...
S. Akbarian +3 more
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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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Learning Rigid Image Registration - Utilizing Convolutional Neural Networks for Medical Image Registration [PDF]
, 2018 Many traditional computer vision tasks, such as segmentation, have seen large step-changes in accuracy and/or speed with the application of Convolutional Neural Networks (CNNs).
Goatman, K.A. +2 more
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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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, 2018 Uncertainty estimation methods are expected to improve the understanding and quality of computer-assisted methods used in medical applications (e.g., neurosurgical interventions, radiotherapy planning), where automated medical image segmentation is ...
Blatti-Moreno, Marcela +6 more
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Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session. [PDF]
, 2017 At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data and datasets for machine learning identified multiple issues.
Geis, J Raymond +2 more
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Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis
, 2019 The availability of large-scale annotated image datasets and recent advances in supervised deep learning methods enable the end-to-end derivation of representative image features that can impact a variety of image analysis problems.
Ahn, Euijoon +4 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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Adversarial Inpainting of Medical Image Modalities
, 2018 Numerous factors could lead to partial deteriorations of medical images. For example, metallic implants will lead to localized perturbations in MRI scans.
Armanious, Karim +3 more
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