Computer aided detection of spina bifida using nearest neighbor classification with curvature scale space features of fetal skulls extracted from ultrasound images-Reference-Cited by-同舟云学术

Computer aided detection of spina bifida using nearest neighbor classification with curvature scale space features of fetal skulls extracted from ultrasound images

Published:2015-09 Issue: Volume:85 Page:80-95
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Konur Umut,Gürgen Fikret S.,Varol Füsun,Akarun Lale

Funder

Scientific Research Projects

TAM Project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference33 articles.

1. Curvature scale space image in shape similarity retrieval;Abbasi;Multimedia Syst.,1999

2. Automated computer-aided stenosis detection at coronary CT angiography: initial experience;Arnoldi;Eur. Radiol.,2010

3. Affine-invariant curve normalization for object shape representation classification and retrieval;Avrithis;Machine Vis. Appl.,2001

4. F. Bergeaud, S.G. Mallat, Matching pursuit of images, in: Proceedings of the IEEE International Conference on Image Processing, 1995, pp. 53–56.

5. The use of the area under the roc curve in the evaluation of machine learning algorithms;Bradley;Pattern Recogn.,1997

Cited by 9 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. An optimized modified faster region convolutional neural network for spina bifida identification from ultrasound images;Biomedical Signal Processing and Control;2023-09

2. Effective Detection of Exomphalos in Fetal Ultrasound Images Using Canny edge detector;2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2022-07-15

3. Semi-automatic heuristic segmentation of fetal skull images;Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi;2022-03-20

4. A novel evolutionary method for spine detection in ultrasound samples of spina bifida cases;Computer Methods and Programs in Biomedicine;2021-01

5. A fire-controlled MSPCNN and its applications for image processing;Neurocomputing;2021-01