These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

111 related articles for article (PubMed ID: 39377153)

  • 1. Fusion of Color Correction and HSV Segmentation Techniques for Automated Segmentation of Acute Lymphoblastic Leukemia.
    Al-Tahhan FE; Omar E
    Microsc Res Tech; 2024 Oct; ():. PubMed ID: 39377153
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Segmentation of White Blood Cell from Acute Lymphoblastic Leukemia Images Using Dual-Threshold Method.
    Li Y; Zhu R; Mi L; Cao Y; Yao D
    Comput Math Methods Med; 2016; 2016():9514707. PubMed ID: 27313659
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images.
    Abrol V; Dhalla S; Gupta S; Singh S; Mittal A
    Wirel Pers Commun; 2023 May; ():1-19. PubMed ID: 37360138
    [TBL] [Abstract][Full Text] [Related]  

  • 4. GFNB: Gini index-based Fuzzy Naive Bayes and blast cell segmentation for leukemia detection using multi-cell blood smear images.
    Das BK; Dutta HS
    Med Biol Eng Comput; 2020 Nov; 58(11):2789-2803. PubMed ID: 32929660
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Automatic and Robust Decision Support System for Accurate Acute Leukemia Diagnosis from Blood Microscopic Images.
    Moshavash Z; Danyali H; Helfroush MS
    J Digit Imaging; 2018 Oct; 31(5):702-717. PubMed ID: 29654425
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms.
    Acharya V; Kumar P
    Med Biol Eng Comput; 2019 Aug; 57(8):1783-1811. PubMed ID: 31201595
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated Detection of Acute Lymphoblastic Leukemia From Microscopic Images Based on Human Visual Perception.
    Bodzas A; Kodytek P; Zidek J
    Front Bioeng Biotechnol; 2020; 8():1005. PubMed ID: 32984283
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic Corneal Ulcer Segmentation Combining Gaussian Mixture Modeling and Otsu Method.
    Liu Z; Shi Y; Zhan P; Zhang Y; Gong Y; Tang X
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6298-6301. PubMed ID: 31947282
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Acute Lymphoblastic Leukemia Detection and Classification of Its Subtypes Using Pretrained Deep Convolutional Neural Networks.
    Shafique S; Tehsin S
    Technol Cancer Res Treat; 2018 Jan; 17():1533033818802789. PubMed ID: 30261827
    [TBL] [Abstract][Full Text] [Related]  

  • 10. White blood cell segmentation by color-space-based k-means clustering.
    Zhang C; Xiao X; Li X; Chen YJ; Zhen W; Chang J; Zheng C; Liu Z
    Sensors (Basel); 2014 Sep; 14(9):16128-47. PubMed ID: 25256107
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mutual Information based hybrid model and deep learning for Acute Lymphocytic Leukemia detection in single cell blood smear images.
    Jha KK; Dutta HS
    Comput Methods Programs Biomed; 2019 Oct; 179():104987. PubMed ID: 31443862
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Recognition of acute lymphoblastic leukemia and lymphocytes cell subtypes in microscopic images using random forest classifier.
    Mirmohammadi P; Ameri M; Shalbaf A
    Phys Eng Sci Med; 2021 Jun; 44(2):433-441. PubMed ID: 33751420
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Nucleus and cytoplasm-based segmentation and actor-critic neural network for acute lymphocytic leukaemia detection in single cell blood smear images.
    Jha KK; Dutta HS
    Med Biol Eng Comput; 2020 Jan; 58(1):171-186. PubMed ID: 31811554
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A neutrosophic-entropy based clustering algorithm (NEBCA) with HSV color system: A special application in segmentation of Parkinson's disease (PD) MR images.
    Singh P
    Comput Methods Programs Biomed; 2020 Jun; 189():105317. PubMed ID: 31981758
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fast leukocyte image segmentation using shadowed sets.
    Mohapatra S; Patra D; Kumar K
    Int J Comput Biol Drug Des; 2012; 5(1):49-65. PubMed ID: 22436298
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Gaussian Blurring Technique for Detecting and Classifying Acute Lymphoblastic Leukemia Cancer Cells from Microscopic Biopsy Images.
    Devi TG; Patil N; Rai S; Philipose CS
    Life (Basel); 2023 Jan; 13(2):. PubMed ID: 36836703
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An image analysis pipeline for automated classification of imaging light conditions and for quantification of wheat canopy cover time series in field phenotyping.
    Yu K; Kirchgessner N; Grieder C; Walter A; Hund A
    Plant Methods; 2017; 13():15. PubMed ID: 28344634
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Segmentation of white blood cells and comparison of cell morphology by linear and naïve Bayes classifiers.
    Prinyakupt J; Pluempitiwiriyawej C
    Biomed Eng Online; 2015 Jun; 14():63. PubMed ID: 26123131
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting.
    Kong H; Gurcan M; Belkacem-Boussaid K
    IEEE Trans Med Imaging; 2011 Sep; 30(9):1661-77. PubMed ID: 21486712
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic Recognition of Acute Myelogenous Leukemia in Blood Microscopic Images Using K-means Clustering and Support Vector Machine.
    Kazemi F; Najafabadi TA; Araabi BN
    J Med Signals Sens; 2016; 6(3):183-93. PubMed ID: 27563575
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.