113 related articles for article (PubMed ID: 38343355)
1. Colorectal cancer histopathology image analysis: A comparative study of prognostic values of automatically extracted morphometric nuclear features in multispectral and red-blue-green imagery.
Liu W; Qu A; Yuan J; Wang L; Chen J; Zhang X; Wang H; Han Z; Li Y
Histol Histopathol; 2024 Jan; ():18715. PubMed ID: 38343355
[TBL] [Abstract][Full Text] [Related]
2. A Comparative Performance Analysis of Multispectral and RGB Imaging on HER2 Status Evaluation for the Prediction of Breast Cancer Prognosis.
Liu W; Wang L; Liu J; Yuan J; Chen J; Wu H; Xiang Q; Yang G; Li Y
Transl Oncol; 2016 Dec; 9(6):521-530. PubMed ID: 27835789
[TBL] [Abstract][Full Text] [Related]
3. Application of multispectral imaging in quantitative immunohistochemistry study of breast cancer: a comparative study.
Liu WL; Wang LW; Chen JM; Yuan JP; Xiang QM; Yang GF; Qu AP; Liu J; Li Y
Tumour Biol; 2016 Apr; 37(4):5013-24. PubMed ID: 26537585
[TBL] [Abstract][Full Text] [Related]
4. New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images.
Chen JM; Qu AP; Wang LW; Yuan JP; Yang F; Xiang QM; Maskey N; Yang GF; Liu J; Li Y
Sci Rep; 2015 May; 5():10690. PubMed ID: 26022540
[TBL] [Abstract][Full Text] [Related]
5. AutoIHC-Analyzer: computer-assisted microscopy for automated membrane extraction/scoring in HER2 molecular markers.
Tewary S; Arun I; Ahmed R; Chatterjee S; Mukhopadhyay S
J Microsc; 2021 Jan; 281(1):87-96. PubMed ID: 32803890
[TBL] [Abstract][Full Text] [Related]
6. Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery.
Boucheron LE; Bi Z; Harvey NR; Manjunath B; Rimm DL
BMC Cell Biol; 2007 Jul; 8 Suppl 1(Suppl 1):S8. PubMed ID: 17634098
[TBL] [Abstract][Full Text] [Related]
7. Nuclei segmentation of HE stained histopathological images based on feature global delivery connection network.
Shi P; Zhong J; Lin L; Lin L; Li H; Wu C
PLoS One; 2022; 17(9):e0273682. PubMed ID: 36107930
[TBL] [Abstract][Full Text] [Related]
8. Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging.
Ma L; Little JV; Chen AY; Myers L; Sumer BD; Fei B
J Biomed Opt; 2022 Apr; 27(4):. PubMed ID: 35484692
[TBL] [Abstract][Full Text] [Related]
9. Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.
Rana A; Lowe A; Lithgow M; Horback K; Janovitz T; Da Silva A; Tsai H; Shanmugam V; Bayat A; Shah P
JAMA Netw Open; 2020 May; 3(5):e205111. PubMed ID: 32432709
[TBL] [Abstract][Full Text] [Related]
10. Identification and validation of a novel signature as a diagnostic and prognostic biomarker in colorectal cancer.
Wang D; Liufu J; Yang Q; Dai S; Wang J; Xie B
Biol Direct; 2022 Nov; 17(1):29. PubMed ID: 36319976
[TBL] [Abstract][Full Text] [Related]
11. Computer-based image studies on tumor nests mathematical features of breast cancer and their clinical prognostic value.
Wang LW; Qu AP; Yuan JP; Chen C; Sun SR; Hu MB; Liu J; Li Y
PLoS One; 2013; 8(12):e82314. PubMed ID: 24349253
[TBL] [Abstract][Full Text] [Related]
12. Survival in stage II/III colorectal cancer is independently predicted by chromosomal and microsatellite instability, but not by specific driver mutations.
Mouradov D; Domingo E; Gibbs P; Jorissen RN; Li S; Soo PY; Lipton L; Desai J; Danielsen HE; Oukrif D; Novelli M; Yau C; Holmes CC; Jones IT; McLaughlin S; Molloy P; Hawkins NJ; Ward R; Midgely R; Kerr D; Tomlinson IP; Sieber OM
Am J Gastroenterol; 2013 Nov; 108(11):1785-93. PubMed ID: 24042191
[TBL] [Abstract][Full Text] [Related]
13. Cancer-cell detection system based on multispectral images.
Noguchi Y; Tenjin Y; Sugishita T
Anal Quant Cytol; 1983 Jun; 5(2):143-51. PubMed ID: 6881764
[TBL] [Abstract][Full Text] [Related]
14. Prognostic value of lymphovascular invasion in stage II colorectal cancer patients with an inadequate examination of lymph nodes.
Gao Z; Cao H; Xu X; Wang Q; Wu Y; Lu Q
World J Surg Oncol; 2021 Apr; 19(1):125. PubMed ID: 33866973
[TBL] [Abstract][Full Text] [Related]
15. Lymphoma images analysis using morphological and non-morphological descriptors for classification.
do Nascimento MZ; Martins AS; Azevedo Tosta TA; Neves LA
Comput Methods Programs Biomed; 2018 Sep; 163():65-77. PubMed ID: 30119858
[TBL] [Abstract][Full Text] [Related]
16. [Research on maize multispectral image accurate segmentation and chlorophyll index estimation].
Wu Q; Sun H; Li MZ; Song YY; Zhang YE
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jan; 35(1):178-83. PubMed ID: 25993844
[TBL] [Abstract][Full Text] [Related]
17. Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers.
Lu C; Romo-Bucheli D; Wang X; Janowczyk A; Ganesan S; Gilmore H; Rimm D; Madabhushi A
Lab Invest; 2018 Nov; 98(11):1438-1448. PubMed ID: 29959421
[TBL] [Abstract][Full Text] [Related]
18. A dual decoder U-Net-based model for nuclei instance segmentation in hematoxylin and eosin-stained histological images.
Mahbod A; Schaefer G; Dorffner G; Hatamikia S; Ecker R; Ellinger I
Front Med (Lausanne); 2022; 9():978146. PubMed ID: 36438040
[TBL] [Abstract][Full Text] [Related]
19. RGB Pixel Brightness Characteristics of Linked Color Imaging in Early Gastric Cancer: A Pilot Study.
Sun X; Zhao L
Gastroenterol Res Pract; 2020; 2020():2105874. PubMed ID: 32328092
[TBL] [Abstract][Full Text] [Related]
20. Contour-Based Detection and Quantification of Tar Spot Stromata Using Red-Green-Blue (RGB) Imagery.
Lee DY; Na DY; Góngora-Canul C; Baireddy S; Lane B; Cruz AP; Fernández-Campos M; Kleczewski NM; Telenko DEP; Goodwin SB; Delp EJ; Cruz CD
Front Plant Sci; 2021; 12():675975. PubMed ID: 34659275
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]