152 related articles for article (PubMed ID: 33504830)
1. Classification of colorectal tissue images from high throughput tissue microarrays by ensemble deep learning methods.
Nguyen HG; Blank A; Dawson HE; Lugli A; Zlobec I
Sci Rep; 2021 Jan; 11(1):2371. PubMed ID: 33504830
[TBL] [Abstract][Full Text] [Related]
2. Prognostic significance of mesothelin expression in colorectal cancer disclosed by area-specific four-point tissue microarrays.
Shiraishi T; Shinto E; Nearchou IP; Tsuda H; Kajiwara Y; Einama T; Caie PD; Kishi Y; Ueno H
Virchows Arch; 2020 Sep; 477(3):409-420. PubMed ID: 32107600
[TBL] [Abstract][Full Text] [Related]
3. High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts.
Harmon SA; Patel PG; Sanford TH; Caven I; Iseman R; Vidotto T; Picanço C; Squire JA; Masoudi S; Mehralivand S; Choyke PL; Berman DM; Turkbey B; Jamaspishvili T
Mod Pathol; 2021 Feb; 34(2):478-489. PubMed ID: 32884130
[TBL] [Abstract][Full Text] [Related]
4. A next-generation tissue microarray (ngTMA) protocol for biomarker studies.
Zlobec I; Suter G; Perren A; Lugli A
J Vis Exp; 2014 Sep; (91):51893. PubMed ID: 25285857
[TBL] [Abstract][Full Text] [Related]
5. Next-generation tissue microarray (ngTMA) increases the quality of biomarker studies: an example using CD3, CD8, and CD45RO in the tumor microenvironment of six different solid tumor types.
Zlobec I; Koelzer VH; Dawson H; Perren A; Lugli A
J Transl Med; 2013 Apr; 11():104. PubMed ID: 23627766
[TBL] [Abstract][Full Text] [Related]
6. A TMA de-arraying method for high throughput biomarker discovery in tissue research.
Wang Y; Savage K; Grills C; McCavigan A; James JA; Fennell DA; Hamilton PW
PLoS One; 2011; 6(10):e26007. PubMed ID: 22016800
[TBL] [Abstract][Full Text] [Related]
7. Robust gridding of TMAs after whole-slide imaging using template matching.
Lahrmann B; Halama N; Westphal K; Ernst C; Elsawaf Z; Sinn P; Bosch FX; Dickhaus H; Jäger D; Schirmacher P; Grabe N
Cytometry A; 2010 Dec; 77(12):1169-76. PubMed ID: 20662092
[TBL] [Abstract][Full Text] [Related]
8. Use and validation of epithelial recognition and fields of view algorithms on virtual slides to guide TMA construction.
Barsky S; Gentchev L; Basu A; Jimenez R; Boussaid K; Gholap A
Biotechniques; 2009 Nov; 47(5):927-38. PubMed ID: 20041846
[TBL] [Abstract][Full Text] [Related]
9. A new approach to the validation of tissue microarrays.
Goethals L; Perneel C; Debucquoy A; De Schutter H; Borghys D; Ectors N; Geboes K; McBride WH; Haustermans KM
J Pathol; 2006 Apr; 208(5):607-14. PubMed ID: 16435284
[TBL] [Abstract][Full Text] [Related]
10. Image microarrays derived from tissue microarrays (IMA-TMA): New resource for computer-aided diagnostic algorithm development.
Hipp JA; Hipp JD; Lim M; Sharma G; Smith LB; Hewitt SM; Balis UG
J Pathol Inform; 2012; 3():24. PubMed ID: 22934237
[TBL] [Abstract][Full Text] [Related]
11. Using Digital Quantification of Stained Tissue Microarrays as a Medium-Throughput, Quantitative Method for Measuring the Kinetics of Signal Transduction.
Kalra J; Baker J
Methods Mol Biol; 2017; 1554():107-125. PubMed ID: 28185185
[TBL] [Abstract][Full Text] [Related]
12. The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification.
Altini N; Marvulli TM; Zito FA; Caputo M; Tommasi S; Azzariti A; Brunetti A; Prencipe B; Mattioli E; De Summa S; Bevilacqua V
Comput Methods Programs Biomed; 2023 Jun; 234():107511. PubMed ID: 37011426
[TBL] [Abstract][Full Text] [Related]
13. Color deconvolution for the analysis of tissue microarrays.
Cornish TC; Halushka MK
Anal Quant Cytol Histol; 2009 Oct; 31(5):304-12. PubMed ID: 20701098
[TBL] [Abstract][Full Text] [Related]
14. Deep learning based tissue analysis predicts outcome in colorectal cancer.
Bychkov D; Linder N; Turkki R; Nordling S; Kovanen PE; Verrill C; Walliander M; Lundin M; Haglund C; Lundin J
Sci Rep; 2018 Feb; 8(1):3395. PubMed ID: 29467373
[TBL] [Abstract][Full Text] [Related]
15. Virtual tissue microarrays: a novel and viable approach to optimizing tissue microarrays for biomarker research applied to ductal carcinoma in situ.
Quintayo MA; Starczynski J; Yan FJ; Wedad H; Nofech-Mozes S; Rakovitch E; Bartlett JM
Histopathology; 2014 Jul; 65(1):2-8. PubMed ID: 24267587
[TBL] [Abstract][Full Text] [Related]
16. The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microarrays on line.
Conway CM; O'Shea D; O'Brien S; Lawler DK; Dodrill GD; O'Grady A; Barrett H; Gulmann C; O'Driscoll L; Gallagher WM; Kay EW; O'Shea DG
BMC Bioinformatics; 2006 May; 7():256. PubMed ID: 16707006
[TBL] [Abstract][Full Text] [Related]
17. On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.
Segebarth D; Griebel M; Stein N; von Collenberg CR; Martin C; Fiedler D; Comeras LB; Sah A; Schoeffler V; Lüffe T; Dürr A; Gupta R; Sasi M; Lillesaar C; Lange MD; Tasan RO; Singewald N; Pape HC; Flath CM; Blum R
Elife; 2020 Oct; 9():. PubMed ID: 33074102
[TBL] [Abstract][Full Text] [Related]
18. Ultra-fast processing of gigapixel Tissue MicroArray images using high performance computing.
Wang Y; McCleary D; Wang CW; Kelly P; James J; Fennell DA; Hamilton P
Anal Cell Pathol (Amst); 2010; 33(5):271-85. PubMed ID: 21127378
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model.
Khan A; Brouwer N; Blank A; Müller F; Soldini D; Noske A; Gaus E; Brandt S; Nagtegaal I; Dawson H; Thiran JP; Perren A; Lugli A; Zlobec I
Mod Pathol; 2023 May; 36(5):100118. PubMed ID: 36805793
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
