189 related articles for article (PubMed ID: 9520938)
1. Objective nuclear grading for node-negative breast cancer patients: comparison of quasi-3D and 2D image-analysis based on light microscopic images.
Albert R; Müller JG; Kristen P; Harms H
Lab Invest; 1998 Mar; 78(3):247-59. PubMed ID: 9520938
[TBL] [Abstract][Full Text] [Related]
2. New method of nuclear grading of tissue sections by means of digital image analysis with prognostic significance for node-negative breast cancer patients.
Albert R; Müller JG; Kristen P; Schindewolf T; Kneitz S; Harms H
Cytometry; 1996 Jun; 24(2):140-50. PubMed ID: 8725663
[TBL] [Abstract][Full Text] [Related]
3. [Frequency distribution, microscopic image analysis and grading of mammary carcinoma].
Guski H; Winzer KJ; Seidenfaden U; Hufnagl P; Wolf G
Zentralbl Pathol; 1991; 137(3):249-55. PubMed ID: 1718410
[TBL] [Abstract][Full Text] [Related]
4. Prognosis of early cervical cancer (FIGO Stages IA2, IB, and IIA) in northern Norway predicted by malignancy grading score and objective morphometric image analysis.
Eggen T; Arnes M; Moe B; Straume B; Orbo A
Int J Gynecol Pathol; 2007 Oct; 26(4):447-56. PubMed ID: 17885497
[TBL] [Abstract][Full Text] [Related]
5. An image analysis study on nuclear morphology in metastasized and non-metastasized squamous cell carcinomas of the tongue.
Hannen EJ; van der Laak JA; Manni JJ; Pahlplatz MM; Freihofer HP; Slootweg PJ; Koole R; de Wilde PC
J Pathol; 1998 Jun; 185(2):175-83. PubMed ID: 9713344
[TBL] [Abstract][Full Text] [Related]
6. Comparison of pathologist-detected and automated computer-assisted image analysis detected sentinel lymph node micrometastases in breast cancer.
Weaver DL; Krag DN; Manna EA; Ashikaga T; Harlow SP; Bauer KD
Mod Pathol; 2003 Nov; 16(11):1159-63. PubMed ID: 14614056
[TBL] [Abstract][Full Text] [Related]
7. Grading and prognosis of invasive ductal mammary carcinoma by nuclear image analysis in tissue sections.
Kunze KD; Haroske G; Dimmer V; Meyer W; Theissig F
Pathol Res Pract; 1989 Nov; 185(5):689-93. PubMed ID: 2560542
[TBL] [Abstract][Full Text] [Related]
8. Use of nuclear image cytometry, histopathological grading and DNA cytometry to make breast cancer prognosis more objective.
Theissig F; Dimmer V; Haroske G; Kunze KD; Meyer W
Anal Cell Pathol; 1991 Nov; 3(6):351-60. PubMed ID: 1751402
[TBL] [Abstract][Full Text] [Related]
9. Computer-generated nuclear features compared with axillary lymph node status and tumor size as indicators of breast cancer survival.
Wolberg WH; Street WN
Hum Pathol; 2002 Nov; 33(11):1086-91. PubMed ID: 12454812
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Correlation of nuclear morphometry of breast cancer in histological sections with clinicopathological features and prognosis.
Abdalla F; Boder J; Markus R; Hashmi H; Buhmeida A; Collan Y
Anticancer Res; 2009 May; 29(5):1771-6. PubMed ID: 19443402
[TBL] [Abstract][Full Text] [Related]
12. Nuclear profiles of cancer cells reveal the metastatic potential of gastric cancer.
Ikeguchi M; Cai J; Oka S; Gomyou Y; Tsujitani S; Maeta M; Kaibara N
J Pathol; 2000 Sep; 192(1):19-25. PubMed ID: 10951395
[TBL] [Abstract][Full Text] [Related]
13. Objective malignancy grading: a review emphasizing unbiased stereology applied to breast tumors.
Ladekarl M
APMIS Suppl; 1998; 79():1-34. PubMed ID: 9645191
[TBL] [Abstract][Full Text] [Related]
14. Quantitative nuclear morphometry by image analysis for prediction of recurrence of ductal carcinoma in situ of the breast.
Hoque A; Lippman SM; Boiko IV; Atkinson EN; Sneige N; Sahin A; Weber DM; Risin S; Lagios MD; Schwarting R; Colburn WJ; Dhingra K; Follen M; Kelloff GJ; Boone CW; Hittelman WN
Cancer Epidemiol Biomarkers Prev; 2001 Mar; 10(3):249-59. PubMed ID: 11303595
[TBL] [Abstract][Full Text] [Related]
15. Combined morphometrical and syntactic structure analysis as tools for histomorphological insight into human lung carcinoma growth.
Kayser K; Stute H; Bubenzer J; Paul J
Anal Cell Pathol; 1990 Apr; 2(3):167-78. PubMed ID: 2177350
[TBL] [Abstract][Full Text] [Related]
16. LEA-135 expression: its association with a lower risk of recurrence and increased overall survival of patients with lymph node-positive primary invasive breast cancer.
Saha B; Zhang N; Naritoku WY; Tsao-Wei DD; Groshen SL; Carlsson G; Larsson L; Gustavsson B; Chaiwun B; Taylor CR; Imam SA
Anticancer Res; 2004; 24(4):2391-400. PubMed ID: 15330189
[TBL] [Abstract][Full Text] [Related]
17. Prediction of recurrence and nucleolar features in node-negative breast carcinoma, ductal type, grade II. An ultrastructural study.
Lloreta J; Ferrer D; Corominas JM; Pavesi M; Serrano S; Mackay B
Virchows Arch; 2002 Mar; 440(3):280-4. PubMed ID: 11889598
[TBL] [Abstract][Full Text] [Related]
18. Distribution of nuclear size and internuclear distance are important criteria for grading astrocytomas.
Nafe R; Van de Nes J; Yan B; Schlote W
Clin Neuropathol; 2006; 25(1):48-56. PubMed ID: 16465775
[TBL] [Abstract][Full Text] [Related]
19. 259 Patients with DCIS of the breast applying USC/Van Nuys prognostic index: a retrospective review with long term follow up.
Di Saverio S; Catena F; Santini D; Ansaloni L; Fogacci T; Mignani S; Leone A; Gazzotti F; Gagliardi S; De Cataldis A; Taffurelli M
Breast Cancer Res Treat; 2008 Jun; 109(3):405-16. PubMed ID: 17687650
[TBL] [Abstract][Full Text] [Related]
20. Prognostic significance (relapse, non-relapse) of nuclear shape parameters in lymph node negative breast cancer.
Umbricht C; Oberholzer M; Gschwind R; Christen H; Torhorst J
Anal Cell Pathol; 1989 Feb; 1(1):11-23. PubMed ID: 2562217
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
