Results 121 to 130 of about 1,137 (158)

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

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

An open-source, automated machine learning approach for large-scale image retrieval for thoracic aorta analysis studies. [PDF]

JAMIA Open
Ayers BC, Aguirre AD, Sundt TM, Lu MT, Jassar A.   +4 more
europepmc   +1 more source

Enhancing dietary management and nutritional analysis through deep learning: a multi-model approach for food classification and volume estimation. [PDF]

Sci Rep
Karthikeyan N, Natarajan B, Mahapatro SR, Hussain DM.   +3 more
europepmc   +1 more source

Detecting microsatellite instability in colorectal cancer using Transformer-based colonoscopy image classification and retrieval. [PDF]

PLoS One
Lo CM, Jiang JK, Lin CC.
europepmc   +1 more source

Artificial intelligence and robotic surgery in clinical medicine: progress, challenges, and future directions. [PDF]

Future Sci OA
Beyaz S, Özgözen AL, Turgut N, Ölke HC.   +3 more
europepmc   +1 more source

On image search in histopathology. [PDF]

J Pathol Inform
Tizhoosh HR, Pantanowitz L.
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

Some of the next articles are maybe not open access.

Related searches:

Semantics and CBIR

Proceedings of the 2008 international conference on Content-based image and video retrieval, 2008
Medical CBIR (content-based image retrieval) applications pose unique challenges but at the same time offer many new opportunities. On one hand, while one can easily understand news or sports videos, a medical image is often completely incomprehensible to untrained eyes.
Xiang Sean Zhou, Sonja Zillner, Manuel Moeller, Michael Sintek, Yiqiang Zhan, Arun Krishnan, Alok Gupta   +6 more
openaire   +1 more source

Incorporating Shape into Histograms for CBIR

Procedings of the British Machine Vision Conference 1999, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gagaudakis, George, Rosin, Paul L.
openaire   +2 more sources

A fuzzy logic CBIR system

The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., 2004
A fuzzy logic framework is proposed to alleviate two problems in traditional CBIR systems, including the semantic gap and the perception subjectivity. The proposed framework consists of two major parts, including (1) model construction and (2) query comparison.
null Chih-Yi Chiu, null Hsin-Chih Lin, null Shi-Nine Yang   +2 more
openaire   +1 more source