Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion-Reference-Cited by-同舟云学术

Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion

Published:2008-03 Issue:2 Volume:32 Page:95-108
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Rahman Md. Mahmudur,Desai Bipin C.,Bhattacharya Prabir

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference38 articles.

1. A review of content-based image retrieval systems in medical applications clinical benefits and future directions;Müller;Int J Med Inform,2004

2. Medical image databases;Wong,1998

3. A review of intelligent content-based indexing and browsing of medical images;Tang;J Health Inform,1999

4. Medical image databases: a content-based retrieval approach;Tagare;J Am Med Informat Assoc,1997

5. Florea F, Müller H, Rogozan A, Geissbuhler A, Darmoni S. Medical image categorization with MedIC and MedGIFT. Proc Med Inform Europe (MIE 2006). p. 3–11.

Cited by 58 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Medical image retrieval via nearest neighbor search on pre-trained image features;Knowledge-Based Systems;2023-10

2. Recent Advances on Convolutional Architectures in Medical Applications: Classical or Quantum?;2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2022-10-20

3. Content-Based Medical Image Retrieval Using Delaunay Triangulation Segmentation Technique;Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention;2022-09-09

4. Prediction of recurrent spontaneous abortion using evolutionary machine learning with joint self-adaptive sime mould algorithm;Computers in Biology and Medicine;2022-09

5. Effective Segmentation and classification of Brain Tumor using SVM classifier in MR images;2022 International Conference on Signal and Information Processing (IConSIP);2022-08-26