WE-D-304A-04: Performance of a Method to Aid Breast Ultrasound Interpretation Using Image Processing and Case-Based Reasoning

2009 ◽  
Vol 36 (6Part26) ◽  
pp. 2778-2778 ◽  
Author(s):  
M Andre ◽  
M Galperin ◽  
H Ojeda-Fournier ◽  
L Olson ◽  
A Berry ◽  
...  
Keyword(s):  
Image Processing ◽  
Breast Ultrasound ◽  
Case Based Reasoning ◽  
Case Based

Performance of a Method to Standardize Breast Ultrasound Interpretation Using Image Processing and Case-Based Reasoning

2011 ◽  
pp. 3-9 ◽  
Author(s):  
M.P. André ◽  
M. Galperin ◽  
A. Berry ◽  
H. Ojeda-Fournier ◽  
M. O’Boyle ◽  
...  
Keyword(s):  
Image Processing ◽  
Breast Ultrasound ◽  
Case Based Reasoning ◽  
Case Based

scholarly journals Automated Program Generation System for Image Processing using Case-Based Reasoning

2001 ◽  
Vol 121 (4) ◽  
pp. 742-747
Author(s):  
Naomichi Sueda ◽  
Shigeaki Sakurai ◽  
Tsuyoshi Shimada ◽  
Yukimitu Touda ◽  
Sadakazu Watanabe
Keyword(s):  
Image Processing ◽  
Case Based Reasoning ◽  
Generation System ◽  
Program Generation ◽  
Case Based

Image Processing Using Case-Based Reasoning: A Survey

2020 ◽  
pp. 653-661
Author(s):  
Rahul Barman ◽  
Saroj Kr. Biswas ◽  
Sunita Sarkar ◽  
Biswajit Purkayastha ◽  
Badal Soni
Keyword(s):  
Image Processing ◽  
Case Based Reasoning ◽  
Case Based

scholarly journals Analogical Proportions: Why They Are Useful in AI

2021 ◽  
Author(s):  
Henri Prade ◽  
Gilles Richard
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Computational Linguistics ◽  
Analogical Reasoning ◽  
Formal Modeling ◽  
Preference Learning ◽  
Case Based Reasoning ◽  
Inference Mechanism ◽  
Formal Concepts ◽  
Case Based

This paper presents a survey of researches in analogical reasoning whose building block are analogical proportions which are statements of the form “a is to b as c is to d”. They have been developed in the last twenty years within an Artificial Intelligence perspective. After discussing their formal modeling with the associated inference mechanism, the paper reports the main results obtained in various AI domains ranging from computational linguistics to classification, including image processing, I.Q. tests, case based reasoning, preference learning, and formal concepts analysis. The last section discusses some new theoretical concerns, and the potential of analogical proportions in other areas such as argumentation, transfer learning, and XAI.

Image processing in case-based reasoning

2005 ◽  
Vol 20 (3) ◽  
pp. 311-314 ◽  
Author(s):  
PETRA PERNER ◽  
ALEC HOLT ◽  
MICHAEL RICHTER
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Computer Tomography ◽  
Spatial Data ◽  
Case Based Reasoning ◽  
Data Sets ◽  
Spatial Data Sets ◽  
Case Based

This commentary summarizes case-based reasoning (CBR) research applied to image processing. It includes references to the systems, workshops, and landmark publications. Image processing includes a variety of image formats, from computer tomography images to remote sensing and spatial data sets.

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