162 related articles for article (PubMed ID: 32155093)
1. Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis.
Chen Y; Janowczyk A; Madabhushi A
JCO Clin Cancer Inform; 2020 Mar; 4():221-233. PubMed ID: 32155093
[TBL] [Abstract][Full Text] [Related]
2. JPEG vs. JPEG2000: benchmarking with dermatological images.
Guarneri F; Vaccaro M; Guarneri C; Cannavò SP
Skin Res Technol; 2014 Feb; 20(1):67-73. PubMed ID: 23724923
[TBL] [Abstract][Full Text] [Related]
3. Is JPEG compression of videomicroscopic images compatible with telediagnosis? Comparison between diagnostic performance and pattern recognition on uncompressed TIFF images and JPEG compressed ones.
Seidenari S; Pellacani G; Righi E; Di Nardo A
Telemed J E Health; 2004; 10(3):294-303. PubMed ID: 15650524
[TBL] [Abstract][Full Text] [Related]
4. Automated optimization of JPEG 2000 encoder options based on model observer performance for detecting variable signals in X-ray coronary angiograms.
Zhang Y; Pham BT; Eckstein MP
IEEE Trans Med Imaging; 2004 Apr; 23(4):459-74. PubMed ID: 15084071
[TBL] [Abstract][Full Text] [Related]
5. Virtual slide telepathology systems with JPEG2000.
Ortiz JP; Ruiz V; García I
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():880-3. PubMed ID: 18002097
[TBL] [Abstract][Full Text] [Related]
6. Effect of image compression on telepathology. A randomized clinical trial.
Marcelo A; Fontelo P; Farolan M; Cualing H
Arch Pathol Lab Med; 2000 Nov; 124(11):1653-6. PubMed ID: 11079019
[TBL] [Abstract][Full Text] [Related]
7. Compression guidelines for diagnostic telepathology.
Foran DJ; Meer PP; Papathomas T; Marsic I
IEEE Trans Inf Technol Biomed; 1997 Mar; 1(1):55-60. PubMed ID: 11020810
[TBL] [Abstract][Full Text] [Related]
8. Using a visual discrimination model for the detection of compression artifacts in virtual pathology images.
Johnson JP; Krupinski EA; Yan M; Roehrig H; Graham AR; Weinstein RS
IEEE Trans Med Imaging; 2011 Feb; 30(2):306-14. PubMed ID: 20875970
[TBL] [Abstract][Full Text] [Related]
9. JPEG2000 3D compression vs. 2D compression: an assessment of artifact amount and computing time in compressing thin-section abdomen CT images.
Kim B; Lee KH; Kim KJ; Richter T; Kang HS; Kim SY; Kim YH; Seo J
Med Phys; 2009 Mar; 36(3):835-44. PubMed ID: 19378744
[TBL] [Abstract][Full Text] [Related]
10. Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.
Janowczyk A; Madabhushi A
J Pathol Inform; 2016; 7():29. PubMed ID: 27563488
[TBL] [Abstract][Full Text] [Related]
11. JPEG2000 for automated quantification of immunohistochemically stained cell nuclei: a comparative study with standard JPEG format.
Lejeune M; López C; Bosch R; Korzyńska A; Salvadó MT; García-Rojo M; Neuman U; Witkowski Ł; Baucells J; Jaén J
Virchows Arch; 2011 Feb; 458(2):237-45. PubMed ID: 21085985
[TBL] [Abstract][Full Text] [Related]
12. Use of image features in predicting visually lossless thresholds of JPEG2000 compressed body CT images: initial trial.
Kim KJ; Kim B; Lee KH; Mantiuk R; Richter T; Kang HS
Radiology; 2013 Sep; 268(3):710-8. PubMed ID: 23630311
[TBL] [Abstract][Full Text] [Related]
13. Perceptually tuned JPEG coder for echocardiac image compression.
Al-Fahoum AS; Reza AM
IEEE Trans Inf Technol Biomed; 2004 Sep; 8(3):313-20. PubMed ID: 15484437
[TBL] [Abstract][Full Text] [Related]
14. The effect of wavelet and discrete cosine transform compression of digital radiographs on the detection of subtle proximal caries. ROC analysis.
Schulze RK; Richter A; d'Hoedt B
Caries Res; 2008; 42(5):334-9. PubMed ID: 18701823
[TBL] [Abstract][Full Text] [Related]
15. JPEG compression history estimation for color images.
Neelamani R; de Queiroz R; Fan Z; Dash S; Baraniuk RG
IEEE Trans Image Process; 2006 Jun; 15(6):1365-78. PubMed ID: 16764263
[TBL] [Abstract][Full Text] [Related]
16. Impact of image compression on deep learning-based mammogram classification.
Jo YY; Choi YS; Park HW; Lee JH; Jung H; Kim HE; Ko K; Lee CW; Cha HS; Hwangbo Y
Sci Rep; 2021 Apr; 11(1):7924. PubMed ID: 33846388
[TBL] [Abstract][Full Text] [Related]
17. Digital imaging in pathology: the case for standardization.
Yagi Y; Gilbertson JR
J Telemed Telecare; 2005; 11(3):109-16. PubMed ID: 15901437
[TBL] [Abstract][Full Text] [Related]
18. Effect of image compression and scaling on automated scoring of immunohistochemical stainings and segmentation of tumor epithelium.
Konsti J; Lundin M; Linder N; Haglund C; Blomqvist C; Nevanlinna H; Aaltonen K; Nordling S; Lundin J
Diagn Pathol; 2012 Mar; 7():29. PubMed ID: 22436596
[TBL] [Abstract][Full Text] [Related]
19. Quality assessment of DSA, ultrasound and CT digital images compressed with the JPEG protocol.
Okkalides D; Efremides S
Phys Med Biol; 1994 Sep; 39(9):1407-21. PubMed ID: 15552113
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of JPEG 2000 encoder options: human and model observer detection of variable signals in X-ray coronary angiograms.
Zhang Y; Pham B; Eckstein MP
IEEE Trans Med Imaging; 2004 May; 23(5):613-32. PubMed ID: 15147014
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]