Results 151 to 160 of about 6,778 (208)

Evaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease. [PDF]

Sci Rep
Choe J, Choi HY, Lee SM, Oh SY, Hwang HJ, Kim N, Yun J, Lee JS, Oh YM, Yu D, Kim B, Seo JB.   +11 more
europepmc   +1 more source

A review of optimization strategies for deep and machine learning in diabetic macular edema. [PDF]

Front Artif Intell
Mutawa AM, Sabti K, Sundaram Thankaleela BS, Raizada S.   +3 more
europepmc   +1 more source

Machine learning methods for histopathological image analysis: Updates in 2024. [PDF]

Comput Struct Biotechnol J
Komura D, Ochi M, Ishikawa 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

Transforming a clinical study database into a structured database adapted to artificial intelligence applications. [PDF]

Insights Imaging
Sauron T, Lazarus C, Kurtz C, Cloppet F, Thomassin Naggara I, EURAD Study Group, Fournier L.   +6 more
europepmc   +1 more source

EfficientNet-B3-Based Automated Deep Learning Framework for Multiclass Endoscopic Bladder Tissue Classification. [PDF]

Diagnostics (Basel)
Abd El-Aziz AA, Mahmood MA, El-Ghany SA.
europepmc   +1 more source

A novel approach for identification of zoonotic trypanosome utilizing deep metric learning and vector database-based image retrieval system. [PDF]

Heliyon
Kittichai V, Sompong W, Kaewthamasorn M, Sasisaowapak T, Naing KM, Tongloy T, Chuwongin S, Thanee S, Boonsang S.   +8 more
europepmc   +1 more source

Editorial for the Special Issue "Advances in Medical Image Processing, Segmentation, and Classification". [PDF]

Diagnostics (Basel)
Mustafa WA, Alquran H.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

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, Jiansheng Yang, Jinwen Ma
openaire   +1 more source

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-
Umer Ali Khan, Ali Javed, Rehan Ashraf
openaire   +1 more source