Results 1 to 10 of about 2,978 (220)

Deep hashing for global registration of preoperative CT and video images for laparoscopic liver surgery. [PDF]

Int J Comput Assist Radiol Surg
Zhang H, Bulathsinhala S, Davidson BR, Clarkson MJ, Ramalhinho J.   +4 more
europepmc   +1 more source

DarwinGSE: Towards better image retrieval systems for intellectual property datasets. [PDF]

PLoS One
António J, Valente J, Mora C, Almeida A, Jardim S.   +4 more
europepmc   +1 more source

Secure and fault tolerant cloud based framework for medical image storage and retrieval in a distributed environment. [PDF]

Sci Rep
Amaithi Rajan A, V V, M A, R PK.
europepmc   +1 more source

Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization. [PDF]

Sci Rep
Kanwal K, Ahmad KT, Shabir A, Jing L, Garay H, Gonzalez LEP, Karamti H, Ashraf I.   +7 more
europepmc   +1 more source

Standardizing DICOM annotation: deep learning enhances body part description in X-ray image retrieval for clinical research. [PDF]

BMC Med Imaging
Cheng KY, Fabel M, Bergh B, Saalfeld S.
europepmc   +1 more source

Benchmarking Deep Learning-Based Image Retrieval of Oral Tumor Histology. [PDF]

Cureus
Herdiantoputri RR, Komura D, Ochi M, Fukawa Y, Kayamori K, Tsuchiya M, Kikuchi Y, Ushiku T, Ikeda T, Ishikawa S.   +9 more
europepmc   +1 more source

Recent developments of content-based image retrieval (CBIR)

Neurocomputing, 2021
Abstract With the development of Internet technology and the popularity of digital devices, Content-Based Image Retrieval (CBIR) has been quickly developed and applied in various fields related to computer vision and artificial intelligence. Currently, it is possible to retrieve related images effectively and efficiently from a large scale database ...
Xiaoqing Li
exaly   +2 more sources

An effective hybrid framework for content based image retrieval (CBIR)

Multimedia Tools and Applications, 2021
In recent years, we have witnessed a massive growth in the generation of images on the cyberspace which demands to develop automated solutions for effective content management. Content-based image retrieval (CBIR) systems have been proposed to reduce the dependency on textual annotations-based image retrieval systems. There exists a variety of features-
Ali Javed, Rehan Ashraf, Ashraf Rehan
exaly   +2 more sources

Hierarchical clustering techniques and classification applied in Content Based Image Retrieval (CBIR)

2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics, 2015
This paper presents a study on the effectiveness of hierarchical clustering techniques application and classification for imaging context in the Content-Based Image Retrieval (CBIR). The study has the purpose to compare the obtained results from using different hierarchical clustering algorithms with various input parameters and configurations using ...
Stefan Holban
exaly   +2 more sources

Content-Based Image Retrieval (CBIR): A Review

Lecture Notes in Electrical Engineering, 2022
Sharma Dilip Kumar
exaly   +2 more sources