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Efficient Approach for Lung Cancer Detection Using Artificial Intelligence
Published in Neeraj Mohan, Surbhi Gupta, Chuan-Ming Liu, Society 5.0 and the Future of Emerging Computational Technologies, 2022
It is possible to describe the object as two-dimensional f (x, y), whereas x, y is just the co-ordinate, and (f) is the magnitude of any co-ordination pair (x, y). The magnitude of such a location is also considered an amplification of the gray area or image (f). This pixel value consists of a group of x and y things, both equally important. The elements of these images are often called pixels. The visualizations later are to be described by the three-dimensional method (x, y, z), and the voxels are often called independent elements. The performance of the imaging is an important radiological factor, and the regional term range ensures that its image can identify two adjacent objects (Wang et al. 2019). A further essential resolution attribute is the transition level that shows image quality and performance. DICOM is a standard policy for managing and revealing medical image data and is used in radiology, cardiology, oncology, obstetrics, and dentistry. DICOM archives can move systems and images into applications in DICOM format to obtain medical information and images. The image quality of a pixel contains position, patient identity, image, and image attributes. Also, the DICOM files (Murillo 2018) enable distinguishing between the patient and the image data challenging. It is associated with the patient as well. There is no concept where fundamental image analysis ends and where the further study on image and machine learning starts. Computer vision is often described as a measure consisting of one image both the operation’s input and output.
Pathways to radiomics-aided clinical decision-making for precision medicine
Published in Ruijiang Li, Lei Xing, Sandy Napel, Daniel L. Rubin, Radiomics and Radiogenomics, 2019
Tianye Niu, Xiaoli Sun, Pengfei Yang, Guohong Cao, Khin K. Tha, Hiroki Shirato, Kathleen Horst, Lei Xing
Standard data format is important for accessing and sharing images Digital Imaging and Communications in Medicine (DICOM) format is commonly used in storage and exchange of medical images. A DICOM file contains both image data and metadata of the patient. The metadata includes information about the image acquisition parameters, scanner, and other patient and hospital related information. The definition of region of interest (ROI), such as tumor volume, is useful for data analysis. There are several commonly used ROI file formats including DICOM-radiotherapy structure set (RTSTRUCT), Analyze, Neuroimaging Informatics Technology Initiative (NifTI), etc. These formats are applied in the ROI delineation platforms in the radiation treatment planning software or the open-source software including the 3D Slicer [40], the Insight Toolkit-SNAP (ITK-SNAP) [41], etc.
Big Data in Medical Image Processing
Published in R. Suganya, S. Rajaram, A. Sheik Abdullah, Big Data in Medical Image Processing, 2018
R. Suganya, S. Rajaram, A. Sheik Abdullah
All the above imaging techniques are of extreme importance in several domains such as computer-aided diagnosis, pathology follow-up, planning of treatment and therapy modification. The information extracted from images may include functional descriptions, geometric models of anatomical structures, and diagnostic assessment. Different solutions such as Picture Archive and Communication Systems (PACS) and specialized systems for image databases address the problem of archiving those medical image collections. The obtained classification results can serve further for several clinical applications such as growth monitoring of diseases and therapy. The main contribution of this research is to address the accuracy of ultrasound liver image classification and retrieval by machine learning algorithms. Among all medical imaging modalities, ultrasound imaging still remains one of the most popular techniques due to its non-ionizing and low cost characteristics. The Digital Imaging and Communication in Medicine (DICOM) Standard is used globally to store, exchange, and transmit medical images. The DICOM Standard incorporates protocols for imaging techniques such as X-ray radiography, ultrasonography, computed tomography (CT), magnetic resonance imaging (MRI) and radiation therapy.
Machine learning algorithms for the diagnosis of Alzheimer and Parkinson disease
Published in Journal of Medical Engineering & Technology, 2023
R S Nancy Noella, J Priyadarshini
In the proposed work the image dataset selected for diagnosis is FDG (Fluorodeoxyglucose) – PET. FDG PET brain functional images give a detailed study of glucose metabolism, the working of neurons and its synaptic activity. Nowadays for the tracking of metabolic activities in different neurological and ageing diseases, FDG PET has been broadly used. In the human brain FDG – PET image stores the activities in the regions like basal ganglia, frontal eye fields, posterior cingulate cortex and visual cortex. This provides data about the working and the position of the respective parts in the body [5–7]. The first phase of the work started with the collection of FDG – PET brain functional images from the Laboratory of Neuroimaging (LONI) in DICOM file formats. DICOM abbreviated as Digital Imaging and Communications in Medicine is the standard for the usage of information regarding medical imaging and its related data. Images are stored in MATLAB and displayed as greyscale images.
Features extraction of MRI image using complex network with low computational complexity to distinguish inflammatory lesions from tumors in the human brain
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2023
Trong Thanh Han, Tung Nguyen Duy, Lam Nguyen Dang Son, Hinh Nguyen Van, Tuan Do Trong, Dung Nguyen Viet, Dung Nguyen Tuan, Luu Vu Dang
Diagnosis based on MRI images is an extremely popular method in medicine. This method has very high accuracy especially in diseases related to the brain. For MRI images, the most common image format used is DICOM. DICOM stands for ‘Digital Imaging and Communications in Medicine Standards’, this is the standard for processing, storing, printing and acquiring medical images (Mildenberger et al. 2002). This standard includes both the definition of the file structure and the communication protocol. The Communication Protocol is an application protocol that uses the TCP/IP platform to communicate between systems. DICOM files can be exchanged between interconnected systems where the systems are capable of capturing patient images and data in the DICOM format.
Distributed electronic health record based on semantic interoperability using fuzzy ontology: a survey
Published in International Journal of Computers and Applications, 2018
Ebtsam Adel, Shaker El-Sappagh, Sherif Barakat, Mohammed Elmogy
Digital imaging and communications in medicine (DICOM) is a successful imaging standard that permits an image to be read on any machine. It enables storing, printing, handling, and transmitting the medical information. It includes a protocol for network communications and a file format definition. DICOM enables integrating the medical images from multiple manufacturers’ devices [28]. The DICOM standard allows the medical imaging interoperability by specifying protocols, transferring the syntaxes and semantics of commands, information conformance standards, security profiles, management of the content.