Evaluating Modelling Approaches for Medical Image Annotations [PDF]
, 2010 Information system designers face many challenges with regards to selecting appropriate semantic technologies and deciding on a modeling approach for their system.
Bijan Parsia +2 more
core +5 more sources
A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential
IEEE Access, 2019 Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of environmental changes, and decomposition of waste materials. However, some of them are harmful to humans and animals such as tuberculosis bacteria and plasmodium.
Frank Kulwa +7 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
International Journal of Online and Biomedical Engineering (iJOE), 2023 Medical image security is possible using digital watermarking techniques. Important information is included in a host medical image in order to provide integrity, consistency, and authentication in the healthcare information system. This paper introduces a proposed method for embedding invisible watermarking in the 3D medical image.
Nashwan Alsalam Ali, Iman I. Hamid
openaire +1 more source
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
core +1 more source
Evaluation of Statistical Features for Medical Image Retrieval [PDF]
, 2013 In this paper we present a complete system allowing the classification of medical images in order to detect possible diseases present in them. The proposed method is developed in two distinct stages: calculation of descriptors and their classification ...
Di Ruberto C, Fodde G
core +1 more source
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
doaj +1 more source