BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 32238879)

  • 21. Sox10 regulates skin melanocyte proliferation by activating the DNA replication licensing factor MCM5.
    Su Z; Zheng X; Zhang X; Wang Y; Zhu S; Lu F; Qu J; Hou L
    J Dermatol Sci; 2017 Mar; 85(3):216-225. PubMed ID: 27955842
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Skin lesion classification with ensembles of deep convolutional neural networks.
    Harangi B
    J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
    [TBL] [Abstract][Full Text] [Related]  

  • 23. SOX10 commonly stains scar in Mohs sections.
    Donaldson MR; Weber LA
    Dermatol Online J; 2020 Jan; 26(1):. PubMed ID: 32155034
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Three Types of Nodal Melanocytic Nevi in Sentinel Lymph Nodes of Patients With Melanoma: Pitfalls, Immunohistochemistry, and a Review of the Literature.
    Gonzàlez-Farré M; Ronen S; Keiser E; Prieto VG; Aung PP
    Am J Dermatopathol; 2020 Oct; 42(10):739-744. PubMed ID: 32271206
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A newly developed mouse monoclonal SOX10 antibody is a highly sensitive and specific marker for malignant melanoma, including spindle cell and desmoplastic melanomas.
    Tacha D; Qi W; Ra S; Bremer R; Yu C; Chu J; Hoang L; Robbins B
    Arch Pathol Lab Med; 2015 Apr; 139(4):530-6. PubMed ID: 25436903
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network.
    Khameneh FD; Razavi S; Kamasak M
    Comput Biol Med; 2019 Jul; 110():164-174. PubMed ID: 31163391
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma.
    Feng M; Deng Y; Yang L; Jing Q; Zhang Z; Xu L; Wei X; Zhou Y; Wu D; Xiang F; Wang Y; Bao J; Bu H
    Diagn Pathol; 2020 May; 15(1):65. PubMed ID: 32471471
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Expression of SOX10, ABCB5 and CD271 in melanocytic lesions and correlation with survival data of patients with melanoma.
    Gambichler T; Petig AL; Stockfleth E; Stücker M
    Clin Exp Dermatol; 2016 Oct; 41(7):709-16. PubMed ID: 27663144
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Diagnostic utility of epithelial and melanocitic markers with double sequential immunohistochemical staining in differentiating melanoma in situ from invasive melanoma.
    Parra-Medina R; Morales SD
    Ann Diagn Pathol; 2017 Feb; 26():70-74. PubMed ID: 27594302
    [TBL] [Abstract][Full Text] [Related]  

  • 30. HoLy-Net: Segmentation of histological images of diffuse large B-cell lymphoma.
    Naji H; Sancere L; Simon A; Büttner R; Eich ML; Lohneis P; Bożek K
    Comput Biol Med; 2024 Mar; 170():107978. PubMed ID: 38237235
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Clinicopathological characterization of mouse models of melanoma.
    Ferguson B; Soyer HP; Walker GJ
    Methods Mol Biol; 2015; 1267():251-61. PubMed ID: 25636472
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Immunohistochemistry utilization in the diagnosis of melanoma.
    Dinehart MS; Dinehart SM; Sukpraprut-Braaten S; High WA
    J Cutan Pathol; 2020 May; 47(5):446-450. PubMed ID: 31955450
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Nests with numerous SOX10 and MiTF-positive cells in lichenoid inflammation: pseudomelanocytic nests or authentic melanocytic proliferation?
    Silva CY; Goldberg LJ; Mahalingam M; Bhawan J; Wolpowitz D
    J Cutan Pathol; 2011 Oct; 38(10):797-800. PubMed ID: 21812802
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer.
    Shamai G; Binenbaum Y; Slossberg R; Duek I; Gil Z; Kimmel R
    JAMA Netw Open; 2019 Jul; 2(7):e197700. PubMed ID: 31348505
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns.
    Kimeswenger S; Tschandl P; Noack P; Hofmarcher M; Rumetshofer E; Kindermann H; Silye R; Hochreiter S; Kaltenbrunner M; Guenova E; Klambauer G; Hoetzenecker W
    Mod Pathol; 2021 May; 34(5):895-903. PubMed ID: 33184470
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images.
    Mouelhi A; Rmili H; Ali JB; Sayadi M; Doghri R; Mrad K
    Comput Methods Programs Biomed; 2018 Oct; 165():37-51. PubMed ID: 30337080
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.
    Fassler DJ; Abousamra S; Gupta R; Chen C; Zhao M; Paredes D; Batool SA; Knudsen BS; Escobar-Hoyos L; Shroyer KR; Samaras D; Kurc T; Saltz J
    Diagn Pathol; 2020 Jul; 15(1):100. PubMed ID: 32723384
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Immunohistochemical double nuclear staining for cell-specific automated quantification of the proliferation index - A promising diagnostic aid for melanocytic lesions.
    Brogård MB; Nielsen PS; Christensen KB; Georgsen JB; Wandler A; Lade-Keller J; Steiniche T
    Pathol Res Pract; 2024 Mar; 255():155177. PubMed ID: 38330618
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Staged Excision of Lentigo Maligna of the Head and Neck: Assessing Surgical Excision Margins With Melan A, SOX10, and PRAME Immunohistochemistry.
    de Wet J; Plessis PJD; Schneider JW
    Am J Dermatopathol; 2023 Feb; 45(2):107-112. PubMed ID: 36669074
    [TBL] [Abstract][Full Text] [Related]  

  • 40. SOX10 expression in mammary invasive ductal carcinomas and benign breast tissue.
    Chiu K; Ionescu DN; Hayes M
    Virchows Arch; 2019 Jun; 474(6):667-672. PubMed ID: 30903273
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.