BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

169 related articles for article (PubMed ID: 19163356)

  • 1. Segmentation of leukocytes and erythrocytes in blood smear images.
    Bergen T; Steckhan D; Wittenberg T; Zerfass T
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3075-8. PubMed ID: 19163356
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Simultaneous Segmentation of Leukocyte and Erythrocyte in Microscopic Images Using a Marker-Controlled Watershed Algorithm.
    Miao H; Xiao C
    Comput Math Methods Med; 2018; 2018():7235795. PubMed ID: 29681997
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Morphological granulometric features of nucleus in automatic bone marrow white blood cell classification.
    Theera-Umpon N; Dhompongsa S
    IEEE Trans Inf Technol Biomed; 2007 May; 11(3):353-9. PubMed ID: 17521086
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A new detection algorithm (NDA) based on fuzzy cellular neural networks for white blood cell detection.
    Shitong W; Min W
    IEEE Trans Inf Technol Biomed; 2006 Jan; 10(1):5-10. PubMed ID: 16445244
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Intravital leukocyte detection using the gradient inverse coefficient of variation.
    Dong G; Ray N; Acton ST
    IEEE Trans Med Imaging; 2005 Jul; 24(7):910-24. PubMed ID: 16011321
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic classification of cells in microscopic fecal images using convolutional neural networks.
    Du X; Liu L; Wang X; Ni G; Zhang J; Hao R; Liu J; Liu Y
    Biosci Rep; 2019 Apr; 39(4):. PubMed ID: 30872411
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [A leukocyte pattern recognition based on feature fusion in multi-color space].
    Hao L; Hong W
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Oct; 30(5):909-13. PubMed ID: 24459942
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Leukocyte cells identification and quantitative morphometry based on molecular hyperspectral imaging technology.
    Li Q; Wang Y; Liu H; He X; Xu D; Wang J; Guo F
    Comput Med Imaging Graph; 2014 Apr; 38(3):171-8. PubMed ID: 24388381
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Segmentation of cell nuclei in heterogeneous microscopy images: a reshapable templates approach.
    Alilou M; Kovalev V; Taimouri V
    Comput Med Imaging Graph; 2013; 37(7-8):488-99. PubMed ID: 24008033
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Data acceptance for automated leukocyte tracking through segmentation of spatiotemporal images.
    Ray N; Acton ST
    IEEE Trans Biomed Eng; 2005 Oct; 52(10):1702-12. PubMed ID: 16235656
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic area classification in peripheral blood smears.
    Xiong W; Ong SH; Lim JH; Foong KW; Liu J; Racoceanu D; Chong AG; Tan KS
    IEEE Trans Biomed Eng; 2010 Aug; 57(8):1982-90. PubMed ID: 20199933
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An image model and segmentation algorithm for reflectance confocal images of in vivo cervical tissue.
    Luck BL; Carlson KD; Bovik AC; Richards-Kortum RR
    IEEE Trans Image Process; 2005 Sep; 14(9):1265-76. PubMed ID: 16190463
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Image Processing Approach for Detection of Leukocytes in Peripheral Blood Smears.
    Hegde RB; Prasad K; Hebbar H; Singh BMK
    J Med Syst; 2019 Mar; 43(5):114. PubMed ID: 30903283
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A framework for quantification and visualization of segmentation accuracy and variability in 3D lateral ventricle ultrasound images of preterm neonates.
    Chen Y; Qiu W; Kishimoto J; Gao Y; Chan RH; de Ribaupierre S; Fenster A; Chiu B
    Med Phys; 2015 Nov; 42(11):6387-405. PubMed ID: 26520730
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images.
    Karimaghaloo Z; Arnold DL; Arbel T
    Med Image Anal; 2016 Jan; 27():17-30. PubMed ID: 26211811
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation of segmentation algorithms on cell populations using CDF curves.
    Hagwood C; Bernal J; Halter M; Elliott J
    IEEE Trans Med Imaging; 2012 Feb; 31(2):380-90. PubMed ID: 21965194
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Toward objective evaluation of image segmentation algorithms.
    Unnikrishnan R; Pantofaru C; Hebert M
    IEEE Trans Pattern Anal Mach Intell; 2007 Jun; 29(6):929-44. PubMed ID: 17431294
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set.
    Qi X; Xing F; Foran DJ; Yang L
    IEEE Trans Biomed Eng; 2012 Mar; 59(3):754-65. PubMed ID: 22167559
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic Identification of Human Erythrocytes in Microscopic Fecal Specimens.
    Liu L; Lei H; Zhang J; Yuan Y; Zhang Z; Liu J; Xie Y; Ni G; Liu Y
    J Med Syst; 2015 Nov; 39(11):146. PubMed ID: 26349804
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification and red blood cell automated counting from blood smear images using computer-aided system.
    Acharya V; Kumar P
    Med Biol Eng Comput; 2018 Mar; 56(3):483-489. PubMed ID: 28815426
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.