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Associative Classifiers for Medical Images | SpringerLink
- https://link.springer.com/chapter/10.1007/978-3-540-39666-6_5
- This paper presents two classification systems for medical images based on association rule mining. The system we propose consists of: a pre-processing phase, a phase for mining the resulted transactional database, and a final phase to organize the resulted …
Associative Classifiers for Medical Images - Semantic …
- https://www.semanticscholar.org/paper/Associative-Classifiers-for-Medical-Images-Antonie-Zaiane/51ca532c41bc7f359354325e047cceb429e209fa
- This paper presents two classification systems for medical images based on association rule mining. The system we propose consists of: a pre-processing phase, a phase for …
(PDF) Associative Classifiers for Medical Images
- https://www.researchgate.net/publication/221653488_Associative_Classifiers_for_Medical_Images
- This paper presents a methodology for finding the association rules using associative classification which can be used to abstract knowledge from brain MRI images.
(PDF) Associative Classifiers for Medical Images
- https://www.researchgate.net/publication/2929794_Associative_Classifiers_for_Medical_Images
- Associative classifiers for medical images in [4] is analyzed in a research work to classification systems for medical images based on association rule mining in …
(Open Access) Associative classifiers for medical images (2003)
- https://typeset.io/papers/associative-classifiers-for-medical-images-3lq4u0rcje
- This paper presents two classification systems for medical images based on association rule mining. The system we propose consists of: a pre-processing phase, a phase for mining …
Information | Free Full-Text | HMIC: Hierarchical Medical …
- https://www.mdpi.com/2078-2489/11/6/318
- When medical images are organized hierarchically, multi-class approaches are difficult to apply using traditional supervised learning methods. This paper introduces …
Associative Classi ers for Medical Images - University of Alberta
- https://webdocs.cs.ualberta.ca/~zaiane/postscript/book03-1.pdf
- medical image classi cation, the rate of false negatives has to be very low if not zero. It is important to mention that manual classi cation of medical images by professionalsis …
Joining associative classifier for medical images - IEEE …
- https://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1587775
- In this paper we join association rule classifier with rough set theory which we call the joining associative classifier (JAC) to mining digital mammography. The experimental results shows that this joining associative classifier performance at 77.48% of classifying accuracy which is higher than 69.11% using associative classifier only.
Texture Based Associative Classifier—An Application of …
- https://link.springer.com/chapter/10.1007/978-81-322-2205-7_37
- It consists of 322 images which belong to three basic categories: normal, benign and malignant. There are 208 normal images, 63 benign and 51 malignant, …
Joining associative classifier for medical images
- https://www.semanticscholar.org/paper/Joining-associative-classifier-for-medical-images-Yun-Li/0b4e712c17cc14c6697e54fdcdd9b61bb03a95bc
- In this paper we join association rule classifier with rough set theory which we call the joining associative classifier (JAC) to mining digital mammography. The experimental results …
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