53 related articles for article (PubMed ID: 24282906)
1. Computer-based image analysis system designed to differentiate between low-grade and high-grade laryngeal cancer cases.
Ninos K; Kostopoulos S; Sidiropoulos K; Kalatzis I; Glotsos D; Athanasiadis E; Ravazoula P; Panayiotakis G; Economou G; Cavouras D
Anal Quant Cytopathol Histpathol; 2013 Oct; 35(5):261-72. PubMed ID: 24282906
[TBL] [Abstract][Full Text] [Related]
2. Pattern-recognition system, designed on GPU, for discriminating between injured normal and pathological knee cartilage.
Kostopoulos S; Sidiropoulos K; Glotsos D; Athanasiadis E; Boutsikou K; Lavdas E; Oikonomou G; Fezoulidis IV; Vlychou M; Hantes M; Cavouras D
Magn Reson Imaging; 2013 Jun; 31(5):761-70. PubMed ID: 23333579
[TBL] [Abstract][Full Text] [Related]
3. Microscopy image analysis of p63 immunohistochemically stained laryngeal cancer lesions for predicting patient 5-year survival.
Ninos K; Kostopoulos S; Kalatzis I; Sidiropoulos K; Ravazoula P; Sakellaropoulos G; Panayiotakis G; Economou G; Cavouras D
Eur Arch Otorhinolaryngol; 2016 Jan; 273(1):159-68. PubMed ID: 26285779
[TBL] [Abstract][Full Text] [Related]
4. Multimodality GPU-based computer-assisted diagnosis of breast cancer using ultrasound and digital mammography images.
Sidiropoulos KP; Kostopoulos SA; Glotsos DT; Athanasiadis EI; Dimitropoulos ND; Stonham JT; Cavouras DA
Int J Comput Assist Radiol Surg; 2013 Jul; 8(4):547-60. PubMed ID: 23354971
[TBL] [Abstract][Full Text] [Related]
5. Computer based correlation of the texture of P63 expressed nuclei with histological tumour grade, in laryngeal carcinomas.
Ninos K; Kostopoulos S; Kalatzis I; Ravazoula P; Sakelaropoulos G; Panayiotakis G; Economou G; Cavouras D
Anal Cell Pathol (Amst); 2014; 2014():963076. PubMed ID: 25763351
[TBL] [Abstract][Full Text] [Related]
6. Computer-based association of the texture of expressed estrogen receptor nuclei with histologic grade using immunohistochemically-stained breast carcinomas.
Kostopoulos S; Glotsos D; Cavouras D; Daskalakis A; Kalatzis I; Georgiadis P; Bougioukos P; Ravazoula P; Nikiforidis G
Anal Quant Cytol Histol; 2009 Aug; 31(4):187-96. PubMed ID: 19736866
[TBL] [Abstract][Full Text] [Related]
7. GPU-enabled design of an adaptable pattern recognition system for discriminating squamous intraepithelial lesions of the cervix.
Konstandinou C; Kostopoulos S; Glotsos D; Pappa D; Ravazoula P; Michail G; Kalatzis I; Asvestas P; Lavdas E; Cavouras D; Sakellaropoulos G
Biomed Tech (Berl); 2020 May; 65(3):315-325. PubMed ID: 31747374
[TBL] [Abstract][Full Text] [Related]
8. Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinoma.
Spyridonos P; Cavouras D; Ravazoula P; Nikiforidis G
Anal Quant Cytol Histol; 2002 Dec; 24(6):317-24. PubMed ID: 12508689
[TBL] [Abstract][Full Text] [Related]
9. Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines.
Glotsos D; Tohka J; Ravazoula P; Cavouras D; Nikiforidis G
Int J Neural Syst; 2005; 15(1-2):1-11. PubMed ID: 15912578
[TBL] [Abstract][Full Text] [Related]
10. Assessing the performance of four different categories of histological criteria in brain tumours grading by means of a computer-aided diagnosis image analysis system.
Kostopoulos S; Konstandinou C; Sidiropoulos K; Ravazoula P; Kalatzis I; Asvestas P; Cavouras D; Glotsos D
J Microsc; 2015 Oct; 260(1):37-46. PubMed ID: 25974641
[TBL] [Abstract][Full Text] [Related]
11. Computer-aided classification of breast cancer nuclei.
Schnorrenberg F; Pattichis CS; Schizas CN; Kyriacou K; Vassiliou M
Technol Health Care; 1996 Aug; 4(2):147-61. PubMed ID: 8885093
[TBL] [Abstract][Full Text] [Related]
12. An automated cervical pre-cancerous diagnostic system.
Mat-Isa NA; Mashor MY; Othman NH
Artif Intell Med; 2008 Jan; 42(1):1-11. PubMed ID: 17996432
[TBL] [Abstract][Full Text] [Related]
13. Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit.
Sidiropoulos K; Glotsos D; Kostopoulos S; Ravazoula P; Kalatzis I; Cavouras D; Stonham J
Comput Biol Med; 2012 Apr; 42(4):376-86. PubMed ID: 22197115
[TBL] [Abstract][Full Text] [Related]
14. Nuclear grading of breast carcinoma by image analysis. Classification by multivariate and neural network analysis.
Dawson AE; Austin RE; Weinberg DS
Am J Clin Pathol; 1991 Apr; 95(4 Suppl 1):S29-37. PubMed ID: 2008882
[TBL] [Abstract][Full Text] [Related]
15. Prostate cancer grading: use of graph cut and spatial arrangement of nuclei.
Nguyen K; Sarkar A; Jain AK
IEEE Trans Med Imaging; 2014 Dec; 33(12):2254-70. PubMed ID: 25029379
[TBL] [Abstract][Full Text] [Related]
16. Automatic differential diagnosis of pancreatic serous and mucinous cystadenomas based on morphological features.
Song JW; Lee JH; Choi JH; Chun SJ
Comput Biol Med; 2013 Jan; 43(1):1-15. PubMed ID: 23200461
[TBL] [Abstract][Full Text] [Related]
17. Binary tissue classification on wound images with neural networks and bayesian classifiers.
Veredas F; Mesa H; Morente L
IEEE Trans Med Imaging; 2010 Feb; 29(2):410-27. PubMed ID: 19825516
[TBL] [Abstract][Full Text] [Related]
18. Multimodal sparse representation-based classification for lung needle biopsy images.
Shi Y; Gao Y; Yang Y; Zhang Y; Wang D
IEEE Trans Biomed Eng; 2013 Oct; 60(10):2675-85. PubMed ID: 23674412
[TBL] [Abstract][Full Text] [Related]
19. Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images.
Daskalakis A; Kostopoulos S; Spyridonos P; Glotsos D; Ravazoula P; Kardari M; Kalatzis I; Cavouras D; Nikiforidis G
Comput Biol Med; 2008 Feb; 38(2):196-203. PubMed ID: 17996861
[TBL] [Abstract][Full Text] [Related]
20. Multiwavelet grading of pathological images of prostate.
Jafari-Khouzani K; Soltanian-Zadeh H
IEEE Trans Biomed Eng; 2003 Jun; 50(6):697-704. PubMed ID: 12814236
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
