291 related articles for article (PubMed ID: 25689353)
1. Cell type classifiers for breast cancer microscopic images based on fractal dimension texture analysis of image color layers.
Jitaree S; Phinyomark A; Boonyaphiphat P; Phukpattaranont P
Scanning; 2015; 37(2):145-51. PubMed ID: 25689353
[TBL] [Abstract][Full Text] [Related]
2. Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images.
Kowal M; Filipczuk P; Obuchowicz A; Korbicz J; Monczak R
Comput Biol Med; 2013 Oct; 43(10):1563-72. PubMed ID: 24034748
[TBL] [Abstract][Full Text] [Related]
3. Feature Extraction Using Dominant Local Texture-Color Patterns (DLTCP) and Classification of Color Images.
Kavitha JC; Suruliandi A
J Med Syst; 2018 Oct; 42(11):220. PubMed ID: 30280254
[TBL] [Abstract][Full Text] [Related]
4. MRF-ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images.
Mungle T; Tewary S; Das DK; Arun I; Basak B; Agarwal S; Ahmed R; Chatterjee S; Chakraborty C
J Microsc; 2017 Aug; 267(2):117-129. PubMed ID: 28319275
[TBL] [Abstract][Full Text] [Related]
5. Frequential versus spatial colour textons for breast TMA classification.
Fernández-Carrobles MM; Bueno G; Déniz O; Salido J; García-Rojo M; Gonzández-López L
Comput Med Imaging Graph; 2015 Jun; 42():25-37. PubMed ID: 25499960
[TBL] [Abstract][Full Text] [Related]
6. Fractal analysis of two-photon microscopic images for diagnosis of nasopharyngeal cancer.
Huang Z; Pan J; Chen G; Li Z; Chen X; Li Y; Wang J; Chen R
Scanning; 2012; 34(6):399-403. PubMed ID: 22552959
[TBL] [Abstract][Full Text] [Related]
7. Automatic measurement of volume percentage stroma in endometrial images using texture segmentation.
Law YN; Yip AM; Lee HK
J Microsc; 2011 Feb; 241(2):171-8. PubMed ID: 21118212
[TBL] [Abstract][Full Text] [Related]
8. Automated oral cancer identification using histopathological images: a hybrid feature extraction paradigm.
Krishnan MM; Venkatraghavan V; Acharya UR; Pal M; Paul RR; Min LC; Ray AK; Chatterjee J; Chakraborty C
Micron; 2012 Feb; 43(2-3):352-64. PubMed ID: 22030300
[TBL] [Abstract][Full Text] [Related]
9. Automated image analysis for the detection of benthic crustaceans and bacterial mat coverage using the VENUS undersea cabled network.
Aguzzi J; Costa C; Robert K; Matabos M; Antonucci F; Juniper SK; Menesatti P
Sensors (Basel); 2011; 11(11):10534-56. PubMed ID: 22346657
[TBL] [Abstract][Full Text] [Related]
10. Color edges extraction using statistical features and automatic threshold technique: application to the breast cancer cells.
Ben Chaabane S; Fnaiech F
Biomed Eng Online; 2014 Jan; 13():4. PubMed ID: 24456647
[TBL] [Abstract][Full Text] [Related]
11. Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers.
Mavroforakis ME; Georgiou HV; Dimitropoulos N; Cavouras D; Theodoridis S
Artif Intell Med; 2006 Jun; 37(2):145-62. PubMed ID: 16716579
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Diagnosis of breast cancer in light microscopic and mammographic images textures using relative entropy via kernel estimation.
Korkmaz SA; Korkmaz MF; Poyraz M
Med Biol Eng Comput; 2016 Apr; 54(4):561-73. PubMed ID: 26345243
[TBL] [Abstract][Full Text] [Related]
14. Texture feature analysis for breast ultrasound image enhancement.
Liao YY; Wu JC; Li CH; Yeh CK
Ultrason Imaging; 2011 Oct; 33(4):264-78. PubMed ID: 22518956
[TBL] [Abstract][Full Text] [Related]
15. Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment.
Li H; Giger ML; Olopade OI; Lan L
Acad Radiol; 2007 May; 14(5):513-21. PubMed ID: 17434064
[TBL] [Abstract][Full Text] [Related]
16. Fractal analysis for classification of breast carcinoma in optical coherence tomography.
Sullivan AC; Hunt JP; Oldenburg AL
J Biomed Opt; 2011 Jun; 16(6):066010. PubMed ID: 21721811
[TBL] [Abstract][Full Text] [Related]
17. Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm.
Shrivastava VK; Londhe ND; Sonawane RS; Suri JS
Comput Biol Med; 2015 Oct; 65():54-68. PubMed ID: 26298486
[TBL] [Abstract][Full Text] [Related]
18. Automated system for characterization and classification of malaria-infected stages using light microscopic images of thin blood smears.
Das DK; Maiti AK; Chakraborty C
J Microsc; 2015 Mar; 257(3):238-52. PubMed ID: 25523795
[TBL] [Abstract][Full Text] [Related]
19. [Study on multi-level fractal features extraction method of breast mass].
Ke L; Zhang X; Kang Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Apr; 30(2):278-82. PubMed ID: 23858747
[TBL] [Abstract][Full Text] [Related]
20. Comparison of Monofractal, Multifractal and gray level Co-occurrence matrix algorithms in analysis of Breast tumor microscopic images for prognosis of distant metastasis risk.
Rajković N; Kolarević D; Kanjer K; Milošević NT; Nikolić-Vukosavljević D; Radulovic M
Biomed Microdevices; 2016 Oct; 18(5):83. PubMed ID: 27549346
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]