BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

379 related articles for article (PubMed ID: 34350848)

  • 21. Digital pathology and artificial intelligence as the next chapter in diagnostic hematopathology.
    Lin E; Fuda F; Luu HS; Cox AM; Fang F; Feng J; Chen M
    Semin Diagn Pathol; 2023 Mar; 40(2):88-94. PubMed ID: 36801182
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Early diagnosis of low grade malignant lymphoma and chronic lymphocytic leukaemia. Verification of morphologically suspected malignancy in blood lymphocytes by flow cytometry.
    Schleiffenbaum BE; Rüegg R; Zimmermann D; Fehr J
    Eur J Haematol; 1996 Nov; 57(5):341-8. PubMed ID: 9003474
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears.
    Eckardt JN; Schmittmann T; Riechert S; Kramer M; Sulaiman AS; Sockel K; Kroschinsky F; Schetelig J; Wagenführ L; Schuler U; Platzbecker U; Thiede C; Stölzel F; Röllig C; Bornhäuser M; Wendt K; Middeke JM
    BMC Cancer; 2022 Feb; 22(1):201. PubMed ID: 35193533
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa.
    Romeo V; Ricciardi C; Cuocolo R; Stanzione A; Verde F; Sarno L; Improta G; Mainenti PP; D'Armiento M; Brunetti A; Maurea S
    Magn Reson Imaging; 2019 Dec; 64():71-76. PubMed ID: 31102613
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Digital morphology compared to the optical microscope: A validation study on reporting bone marrow aspirates.
    Zini G; Chiusolo P; Rossi E; Di Stasio E; Bellesi S; Za T; Viscovo M; Frioni F; Ramundo F; Pelliccioni N; De Stefano V
    Int J Lab Hematol; 2024 Jun; 46(3):474-480. PubMed ID: 38328984
    [TBL] [Abstract][Full Text] [Related]  

  • 26.
    Li H; Xu C; Xin B; Zheng C; Zhao Y; Hao K; Wang Q; Wahl RL; Wang X; Zhou Y
    Theranostics; 2019; 9(16):4730-4739. PubMed ID: 31367253
    [No Abstract]   [Full Text] [Related]  

  • 27. Automatic recognition of myeloma cells in microscopic images using bottleneck algorithm, modified watershed and SVM classifier.
    Saeedizadeh Z; Mehri Dehnavi A; Talebi A; Rabbani H; Sarrafzadeh O; Vard A
    J Microsc; 2016 Jan; 261(1):46-56. PubMed ID: 26457371
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A Hematologist-Level Deep Learning Algorithm (BMSNet) for Assessing the Morphologies of Single Nuclear Balls in Bone Marrow Smears: Algorithm Development.
    Wu YY; Huang TC; Ye RH; Fang WH; Lai SW; Chang PY; Liu WN; Kuo TY; Lee CH; Tsai WC; Lin C
    JMIR Med Inform; 2020 Apr; 8(4):e15963. PubMed ID: 32267237
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Automatic classification of atypical lymphoid B cells using digital blood image processing.
    Alférez S; Merino A; Mujica LE; Ruiz M; Bigorra L; Rodellar J
    Int J Lab Hematol; 2014 Aug; 36(4):472-80. PubMed ID: 24325784
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Classification of digital pathological images of non-Hodgkin's lymphoma subtypes based on the fusion of transfer learning and principal component analysis.
    Zhang J; Cui W; Guo X; Wang B; Wang Z
    Med Phys; 2020 Sep; 47(9):4241-4253. PubMed ID: 32593219
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.
    Sakai A; Onishi Y; Matsui M; Adachi H; Teramoto A; Saito K; Fujita H
    Radiol Phys Technol; 2020 Mar; 13(1):27-36. PubMed ID: 31686300
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Machine learning approaches to analyze histological images of tissues from radical prostatectomies.
    Gertych A; Ing N; Ma Z; Fuchs TJ; Salman S; Mohanty S; Bhele S; Velásquez-Vacca A; Amin MB; Knudsen BS
    Comput Med Imaging Graph; 2015 Dec; 46 Pt 2(Pt 2):197-208. PubMed ID: 26362074
    [TBL] [Abstract][Full Text] [Related]  

  • 33. [Identification of splenic marginal zone lymphoma from B lymphoproliferative disorders by flow cytometry].
    Hu Y; Chen Y; Wang LH; Chen X; Fang F; Liu SQ; Wu XQ; Zhu P
    Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2014 Apr; 22(2):349-56. PubMed ID: 24763004
    [TBL] [Abstract][Full Text] [Related]  

  • 34. [Pathologic diagnosis and subtyping of lymphoma in bone marrow biopsies using histologic examination, immunohistochemistry and gene rearrangement studies].
    Xiao JC; Jin XL; Yuan F
    Zhonghua Bing Li Xue Za Zhi; 2004 Apr; 33(2):120-4. PubMed ID: 15132847
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Histopathologic and Machine Deep Learning Criteria to Predict Lymphoma Transformation in Bone Marrow Biopsies.
    Irshaid L; Bleiberg J; Weinberger E; Garritano J; Shallis RM; Patsenker J; Lindenbaum O; Kluger Y; Katz SG; Xu ML
    Arch Pathol Lab Med; 2022 Jan; 146(2):182-193. PubMed ID: 34086849
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Discrepancies in digital hematopathology diagnoses for consultation and expert panel analysis.
    van den Brand M; Nooijen PTGA; van der Laan KD; de Bruin PC; van Leeuwen AMG; Leeuwis JW; Meijer JW; Otte-Höller I; Hebeda KM
    Virchows Arch; 2021 Mar; 478(3):535-540. PubMed ID: 32840673
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Evaluation of an open-source machine-learning tool to quantify bone marrow plasma cells.
    Baranova K; Tran C; Plantinga P; Sangle N
    J Clin Pathol; 2021 Jul; 74(7):462-468. PubMed ID: 33952591
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Color clustering segmentation framework for image analysis of malignant lymphoid cells in peripheral blood.
    Alférez S; Merino A; Acevedo A; Puigví L; Rodellar J
    Med Biol Eng Comput; 2019 Jun; 57(6):1265-1283. PubMed ID: 30730028
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Acute leukemia classification by ensemble particle swarm model selection.
    Escalante HJ; Montes-y-Gómez M; González JA; Gómez-Gil P; Altamirano L; Reyes CA; Reta C; Rosales A
    Artif Intell Med; 2012 Jul; 55(3):163-75. PubMed ID: 22510477
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Physician Education: Myelodysplastic Syndrome.
    Yoshida Y
    Oncologist; 1996; 1(4):284-287. PubMed ID: 10388004
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 19.