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Automatic classification and segmentation of blast cells using deep transfer learning and active contours.

• Authors : Ametefe DS; Wireless Communication Technology Group, College of Engineering, School of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia.; Sarnin SS

Subjects: Deep Learning* ; Precursor Cell Lymphoblastic Leukemia-Lymphoma*/Precursor Cell Lymphoblastic Leukemia-Lymphoma*/Precursor Cell Lymphoblastic Leukemia-Lymphoma*/pathology ; Precursor Cell Lymphoblastic Leukemia-Lymphoma*/Precursor Cell Lymphoblastic Leukemia-Lymphoma*/Precursor Cell Lymphoblastic Leukemia-Lymphoma*/diagnosis

• Source: International journal of laboratory hematology [Int J Lab Hematol] 2024 Oct; Vol. 46 (5), pp. 837-849. Date of Electronic Publication: 2024 May 10.Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 101300213 Publication Model: Print-Electronic Cited Medium:

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Automatic classification of atypical lymphoid B cells using digital blood image processing.

• Authors : Alférez S; Universitat Politècnica de Catalunya, Barcelona, Spain.; Merino A

Subjects: B-Lymphocytes/B-Lymphocytes/B-Lymphocytes/*classification ; Image Processing, Computer-Assisted/Image Processing, Computer-Assisted/Image Processing, Computer-Assisted/*statistics & numerical data ; Leukemia, Hairy Cell/Leukemia, Hairy Cell/Leukemia, Hairy Cell/*pathology

• Source: International journal of laboratory hematology [Int J Lab Hematol] 2014 Aug; Vol. 36 (4), pp. 472-80. Date of Electronic Publication: 2013 Dec 11.Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 101300213 Publication Model: Print-Electronic Cited Medium:

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Abstracts.

Subjects: PATHOLOGICAL laboratories; CLINICAL pathology; AUTOANALYZERSLOUISIANA

• Source: International Journal of Laboratory Hematology. Sep2023 Supplement 1, Vol. 45, p3-137. 135p.

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Characterization and automatic screening of reactive and abnormal neoplastic B lymphoid cells from peripheral blood.

• Authors : Alférez, S.; Merino, A.; Bigorra, L.

Subjects: CHRONIC lymphocytic leukemia diagnosis; AUTOMATION; B cells

• Source: International Journal of Laboratory Hematology. Apr2016, Vol. 38 Issue 2, p209-219. 11p.

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Digital assessment of peripheral blood and bone marrow aspirate smears.

• Authors : Lewis, Joshua E.; Pozdnyakova, Olga

Subjects: RESEARCH evaluation; HEMATOLOGY; MACHINE learning

• Source: International Journal of Laboratory Hematology. Jun2023 Supplement 1, Vol. 45, p50-58. 9p.

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Challenging gold standard hematology diagnostics through the introduction of whole genome sequencing and artificial intelligence.

• Authors : Haferlach, Torsten; Walter, Wencke

Subjects: PATHOLOGICAL laboratories; FLOW cytometry; SEQUENCE analysis

• Source: International Journal of Laboratory Hematology. Apr2023, Vol. 45 Issue 2, p156-162. 7p.

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ISLH 2022 Abstracts.

Subjects: PATHOLOGICAL laboratories; HEMATOLOGY; CONFERENCES & conventionsITALY

• Source: International Journal of Laboratory Hematology. Jan2023 Supplement 1, Vol. 45, p1-211. 211p.

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Unsupervised flow cytometry analysis in hematological malignancies: A new paradigm.

• Authors : Béné, Marie C.; Lacombe, Francis; Porwit, Anna

Subjects: FLOW cytometry; ARTIFICIAL intelligence; CELL physiology

• Source: International Journal of Laboratory Hematology. 2021 Supplement, Vol. 43, p54-64. 11p.

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ISLH 2019 Abstracts.

Subjects: BLOOD testing; CONFERENCES & conventions; HEMATOLOGYCANADA

• Source: International Journal of Laboratory Hematology. Sep2019 Supplement S2, Vol. 41, p1-205. 205p.

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Digital morphology analyzers in hematology: ICSH review and recommendations.

• Authors : Kratz, Alexander; Lee, Szu‐hee; Zini, Gina

Subjects: ALGORITHMS; ARTIFICIAL intelligence; BLOOD testing

• Source: International Journal of Laboratory Hematology. Aug2019, Vol. 41 Issue 4, p437-447. 11p.

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