Content-based medical image retrieval using fractional Hartley transform with hybrid features
KV Rani, ME Prince, PS Therese, PJ Shermila… - Multimedia Tools and …, 2024 - Springer
Abstract Content-Based Medical Image Retrieval is used to extract meaningful information
from a large number of medical images. To extract image texture characteristics, a novel …
from a large number of medical images. To extract image texture characteristics, a novel …
Progressive detail-content-based similarity retrieval over large lung CT image database based on WSLN model
Y Zhuang, N Jiang - Expert Systems with Applications, 2023 - Elsevier
With the explosive growth of the medical images, the high-resolution CT image (CI) data is of
great value for medical research as well as a clinical diagnosis. Finding CIs similar to the …
great value for medical research as well as a clinical diagnosis. Finding CIs similar to the …
Archimedes Optimization Algorithm With Deep Learning Assisted Content-Based Image Retrieval in Healthcare Sector
Content-based image retrieval (CBIR) in the healthcare field is an advanced technology that
leverages the visual or content features of medical images to retrieve similar images from …
leverages the visual or content features of medical images to retrieve similar images from …
Novel Content Based Image Retrieval—Features of Correlated Visual Textons and MQLPP Descriptor
JAG Sweeta, B Sivagami - SN Computer Science, 2024 - Springer
Content-based image retrieval (CBIR) has made significant advancements and continues to
evolve with the rapid development of computer vision and artificial intelligence technologies …
evolve with the rapid development of computer vision and artificial intelligence technologies …
[PDF][PDF] An Image Classification and Retrieval Hybrid Model for Larger Healthcare Datasets using Deep Learning
R Vasudeva… - Indian Journal …, 2023 - sciresol.s3.us-east-2.amazonaws …
Objectives: The objective of this work is to obtain an efficient medical image retrieval and
classification from a larger healthcare datasets using Novel approach. Methods: In this study …
classification from a larger healthcare datasets using Novel approach. Methods: In this study …
Development of Deep Learning Techniques for Image Retrieval
S Farzad - 2023 - spectrum.library.concordia.ca
Images are used in many real-world applications, ranging from personal photo repositories
to medical imaging systems. Image retrieval is a process in which the images in the …
to medical imaging systems. Image retrieval is a process in which the images in the …