Content-Based Image Retrieval (CBIR) in Remote Clinical Diagnosis and Healthcare [PDF]
Herrmann, Albany E. +1 more
openaire +2 more sources
A novel image retrieval based on rectangular spatial histograms of visual words
Content-based image retrieval (CBIR) provides a solution to search the images that are similar to a query image. From last few years, the bag-of-visual-words (BoVW) model gained significance and improved the performance of CBIR. In a standard BoVW model,
Dr. Zahid Mehmood +2 more
doaj
CBIR-ANR: A content-based image retrieval with accuracy noise reduction
Gabriel S. Vieira +2 more
openaire +1 more source
Dual-path deep learning framework for accurate and interpretable brain tumor diagnosis. [PDF]
Haroun RF +3 more
europepmc +1 more source
Introducing an efficient method for feature extraction in image retrieval systems. [PDF]
Zhao X, He F, Li K.
europepmc +1 more source
Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction. [PDF]
P A, R G.
europepmc +1 more source
Improving image-retrieval performance of foundation models in gastrointestinal endoscopic images. [PDF]
Kim K, Park J, Kim SH, Hwang Y.
europepmc +1 more source
A novel approach in diagnosing knee osteoarthritis for content based image retrieval in big data analytics and medical images. [PDF]
Bozdag PG +7 more
europepmc +1 more source
Image retrieval is one of the most applicable image processing techniques which have been used extensively. Feature extraction is one of the most important procedures used for interpretation and indexing images in content-based image retrieval (CBIR ...
Hassan Farsi, Sajad Mohamadzadeh
doaj
Transfer Learning-Based Ensemble of CNNs and Vision Transformers for Accurate Melanoma Diagnosis and Image Retrieval. [PDF]
Sarıateş M, Özbay E.
europepmc +1 more source

