135 related articles for article (PubMed ID: 24951852)
1. A new feature extraction framework based on wavelets for breast cancer diagnosis.
Ergin S; Kilinc O
Comput Biol Med; 2014 Aug; 51():171-82. PubMed ID: 24951852
[TBL] [Abstract][Full Text] [Related]
2. Decision support system for breast cancer detection using mammograms.
Ganesan K; Acharya RU; Chua CK; Min LC; Mathew B; Thomas AK
Proc Inst Mech Eng H; 2013 Jul; 227(7):721-32. PubMed ID: 23636749
[TBL] [Abstract][Full Text] [Related]
3. Breast cancer diagnosis in digitized mammograms using curvelet moments.
Dhahbi S; Barhoumi W; Zagrouba E
Comput Biol Med; 2015 Sep; 64():79-90. PubMed ID: 26151831
[TBL] [Abstract][Full Text] [Related]
4. Comparative evaluation of support vector machine classification for computer aided detection of breast masses in mammography.
Lesniak JM; Hupse R; Blanc R; Karssemeijer N; Székely G
Phys Med Biol; 2012 Aug; 57(16):5295-307. PubMed ID: 22853938
[TBL] [Abstract][Full Text] [Related]
5. A comparison of methods for three-class mammograms classification.
Milosevic M; Jovanovic Z; Jankovic D
Technol Health Care; 2017 Aug; 25(4):657-670. PubMed ID: 28436405
[TBL] [Abstract][Full Text] [Related]
6. A statistical based feature extraction method for breast cancer diagnosis in digital mammogram using multiresolution representation.
Meselhy Eltoukhy M; Faye I; Belhaouari Samir B
Comput Biol Med; 2012 Jan; 42(1):123-8. PubMed ID: 22115076
[TBL] [Abstract][Full Text] [Related]
7. Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model.
Tan M; Pu J; Zheng B
Int J Comput Assist Radiol Surg; 2014 Nov; 9(6):1005-20. PubMed ID: 24664267
[TBL] [Abstract][Full Text] [Related]
8. Identification of Anomalies in Mammograms through Internet of Medical Things (IoMT) Diagnosis System.
Khan AR; Saba T; Sadad T; Nobanee H; Bahaj SA
Comput Intell Neurosci; 2022; 2022():1100775. PubMed ID: 36188701
[TBL] [Abstract][Full Text] [Related]
9. Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images.
El Houby EMF
J Med Syst; 2018 Jul; 42(8):157. PubMed ID: 29995204
[TBL] [Abstract][Full Text] [Related]
10. An Improved CAD System for Breast Cancer Diagnosis Based on Generalized Pseudo-Zernike Moment and Ada-DEWNN Classifier.
Singh SP; Urooj S
J Med Syst; 2016 Apr; 40(4):105. PubMed ID: 26892455
[TBL] [Abstract][Full Text] [Related]
11. Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network.
P S; R T
Asian Pac J Cancer Prev; 2018 Sep; 19(9):2665-2671. PubMed ID: 30256567
[TBL] [Abstract][Full Text] [Related]
12. Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images.
Wu WJ; Lin SW; Moon WK
Comput Med Imaging Graph; 2012 Dec; 36(8):627-33. PubMed ID: 22939834
[TBL] [Abstract][Full Text] [Related]
13. Improving the Mann-Whitney statistical test for feature selection: an approach in breast cancer diagnosis on mammography.
Pérez NP; Guevara López MA; Silva A; Ramos I
Artif Intell Med; 2015 Jan; 63(1):19-31. PubMed ID: 25555756
[TBL] [Abstract][Full Text] [Related]
14. Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound.
Huang YL; Chen DR; Jiang YR; Kuo SJ; Wu HK; Moon WK
Ultrasound Obstet Gynecol; 2008 Sep; 32(4):565-72. PubMed ID: 18383556
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided diagnosis of breast microcalcifications based on dual-tree complex wavelet transform.
Jian W; Sun X; Luo S
Biomed Eng Online; 2012 Dec; 11():96. PubMed ID: 23253202
[TBL] [Abstract][Full Text] [Related]
16. Computer aided detection system for micro calcifications in digital mammograms.
Mohamed H; Mabrouk MS; Sharawy A
Comput Methods Programs Biomed; 2014 Oct; 116(3):226-35. PubMed ID: 24909786
[TBL] [Abstract][Full Text] [Related]
17. Automatic classification of tissue malignancy for breast carcinoma diagnosis.
Fondón I; Sarmiento A; García AI; Silvestre M; Eloy C; Polónia A; Aguiar P
Comput Biol Med; 2018 May; 96():41-51. PubMed ID: 29544146
[TBL] [Abstract][Full Text] [Related]
18. Effective mammogram classification based on center symmetric-LBP features in wavelet domain using random forests.
Singh VP; Srivastava S; Srivastava R
Technol Health Care; 2017 Aug; 25(4):709-727. PubMed ID: 28582938
[TBL] [Abstract][Full Text] [Related]
19. Comparison Analysis of Linear Discriminant Analysis and Cuckoo-Search Algorithm in the Classification of Breast Cancer from Digital Mammograms.
S R SC; Rajaguru H
Asian Pac J Cancer Prev; 2019 Aug; 20(8):2333-2337. PubMed ID: 31450903
[TBL] [Abstract][Full Text] [Related]
20. Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients.
Kotu LP; Engan K; Borhani R; Katsaggelos AK; Ørn S; Woie L; Eftestøl T
Artif Intell Med; 2015 Jul; 64(3):205-15. PubMed ID: 26239472
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]