Search Results - subject:"Medical Image"

Multimodal medical image fusion with improved multi-objective meta-heuristic algorithm with fuzzy entropy

Nagaraja Kumar, N.; Jayachandra Prasad, T.; Satya Prasad, K. - In: Journal of information & knowledge management : JIKM 22 (2023) 1, pp. 1-33

Persistent link: https://www.econbiz.de/10014384908

A deep learning model and a dataset for diagnosing ophthalmology diseases

Duwairi, Rehab M.; Al-Zboon, Saad A.; Al-Dwairi, Rami A.; … - In: Journal of information & knowledge management : JIKM 20 (2021) 3, pp. 2150036-1-2150036-21

Persistent link: https://www.econbiz.de/10012668792

Multi-modality medical image fusion using hybridization of binary crow search optimization

Parvathy, Velmurugan Subbiah; Pothiraj, Sivakumar - In: Health care management science : a new journal serving … 23 (2020) 4, pp. 661-669

Persistent link: https://www.econbiz.de/10012426498

Cognitive Imaging: Using Knowledge Representation for Segmentation of MRA Data

Rayz, Julia M.; Rayz, Vitaliy L.; Saloner, David; … - In: International Journal of Cognitive Informatics and … 12 (2018) 2, pp. 1-16

This article, an extended version of ICCI*CC-2017 paper, co-authored by biomedical engineers specializing in brain blood circulation modeling and by experts in meaning-based NLP. This article suggests a cognitive computing technology for medical imaging analysis that removes image artifacts...

Persistent link: https://www.econbiz.de/10012043703

A Hybrid Multimodal Medical Image Fusion Technique for CT and MRI Brain Images

Chandrashekar, Leena; Sreedevi A. - In: International Journal of Computer Vision and Image … 8 (2018) 3, pp. 1-15

Estimating the type, size, location and spread of a brain tumor is vital in the diagnosis and treatment of brain cancer. Fused CT and MRI brain images assist in faster detection and diagnosis of brain tumors. They provide superior results in comparison to individual CT or MRI images. Multiscale...

Persistent link: https://www.econbiz.de/10012043853

Enhancement of Hybrid Multimodal Medical Image Fusion Techniques for Clinical Disease Analysis

Rajalingam B.; Priya R. - In: International Journal of Computer Vision and Image … 8 (2018) 3, pp. 16-40

Multimodal medical image fusion is one the most significant and useful disease analytic techniques. This research … article proposes the hybrid multimodality medical image fusion methods and discusses the most essential advantages and … disadvantages of these methods. The hybrid multimodal medical image fusion algorithms are used to improve the quality of fused …

Persistent link: https://www.econbiz.de/10012043854

Medical Image Retrieval in Healthcare Social Networks

Bouslimi, Riadh; Ayadi, Mouhamed Gaith; Akaichi, Jalel - In: International Journal of Healthcare Information Systems … 13 (2018) 2, pp. 13-28

information that is extracted from a radiological collaborative social network. The opinions shared on a medical image in a medico … describe the textual description and medical image in a TF-IDF weight vector using a “bag-of-words” approach. The authors then … medical image. The model is evaluated against the ImageCLEFmedbaseline, which is the ground truth for the experiments. The …

Persistent link: https://www.econbiz.de/10012045222

A Framework to Secure Medical Image Storage in Cloud Computing Environment

Marwan, Mbarek; Kartit, Ali; Ouahmane, Hassan - In: Journal of Electronic Commerce in Organizations (JECO) 16 (2018) 1, pp. 1-16

Nowadays, modern healthcare providers create massive medical images every day because of the recent progress in imaging tools. This is generally due to the increasing number of patients demanding medical services. This has resulted in a continuous demand of a large storage space. Unfortunately,...

Persistent link: https://www.econbiz.de/10012049005

A framework to secure medical image storage in cloud computing environment

Marwan, Mbarek; Kartit, Ali; Ouahmane, Hassan - In: Journal of electronic commerce in organizations : the … 16 (2018) 1, pp. 1-16

Persistent link: https://www.econbiz.de/10011809526

Microscopic Biopsy Image Segmentation Using Hybrid Color K-Means Approach

Kumar, Rajesh; Srivastava, Rajeev; Srivastava, Subodh - In: International Journal of Computer Vision and Image … 7 (2017) 1, pp. 79-90

The color image segmentation is a fundamental requirement for microscopic biopsy image analysis and disease detection. In this paper, a hybrid combination of color k-means and marker control watershed based segmentation approach is proposed to be applied for the segmentation of cell and nuclei...

Persistent link: https://www.econbiz.de/10012043825