ES2428215B2 - Computer-implemented method for recognition and classification of abnormal blood cells and computer programs to carry out the method - Google Patents

Computer-implemented method for recognition and classification of abnormal blood cells and computer programs to carry out the method Download PDF

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Publication number
ES2428215B2
ES2428215B2 ES201330671A ES201330671A ES2428215B2 ES 2428215 B2 ES2428215 B2 ES 2428215B2 ES 201330671 A ES201330671 A ES 201330671A ES 201330671 A ES201330671 A ES 201330671A ES 2428215 B2 ES2428215 B2 ES 2428215B2
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Prior art keywords
blood cells
abnormal blood
computer
classification
abnormal
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Active
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ES201330671A
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Spanish (es)
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ES2428215A1 (en
Inventor
Santiago ALFÉREZ BARQUERO
José RODELLAR BENEDÉ
Anna MERINO GONZÁLEZ
Luis Eduardo MÚJICA DELGADO
Magda RUIZ ORDÓÑEZ
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Universitat Politecnica de Catalunya UPC
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Universitat Politecnica de Catalunya UPC
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Priority to ES201330671A priority Critical patent/ES2428215B2/en
Publication of ES2428215A1 publication Critical patent/ES2428215A1/en
Priority to PCT/ES2014/070393 priority patent/WO2014181024A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/695—Preprocessing, e.g. image segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/698—Matching; Classification

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Image Processing (AREA)

Abstract

Método implementado por ordenador para reconocimiento y clasificación de células sanguíneas anormales y programas informáticos para llevar a cabo el método.#El método realiza una clasificación de células en base a técnicas de procesamiento automático y de análisis de muestras de sangre que incluye adquirir imágenes digitales de células sanguíneas anormales procedentes de células sanguíneas, y: segmentar dichas imágenes digitales de células anormales proporcionando regiones identificadas del núcleo, citoplasma y área externa de la célula de dichas células sanguíneas anormales de dichas imágenes digitales; calcular características intrínsecas de cada una de dichas regiones identificadas del núcleo, citoplasma y área externa de la célula de dichas células sanguíneas anormales comprendiendo calcular las características geométricas de dichas regiones identificadas; reconocer y clasificar automáticamente células sanguíneas anormales en base a dichas características intrínsecas calculadas de dichas regiones identificadas; y usar dichas células sanguíneas anormales reconocidas y clasificadas para realizar una orientación diagnóstica de enfermedades hematológicas.Method implemented by computer for recognition and classification of abnormal blood cells and computer programs to carry out the method. # The method performs a classification of cells based on automatic processing techniques and blood sample analysis that includes acquiring digital images of abnormal blood cells from blood cells, and: segmenting said digital images of abnormal cells providing identified regions of the nucleus, cytoplasm and external cell area of said abnormal blood cells of said digital images; calculate intrinsic characteristics of each of said identified regions of the nucleus, cytoplasm and external cell area of said abnormal blood cells comprising calculating the geometric characteristics of said identified regions; automatically recognize and classify abnormal blood cells based on said intrinsic characteristics calculated from said identified regions; and using said recognized and classified abnormal blood cells to perform a diagnostic orientation of hematological diseases.

Description

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Claims (1)

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ES201330671A 2013-05-09 2013-05-09 Computer-implemented method for recognition and classification of abnormal blood cells and computer programs to carry out the method Active ES2428215B2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
ES201330671A ES2428215B2 (en) 2013-05-09 2013-05-09 Computer-implemented method for recognition and classification of abnormal blood cells and computer programs to carry out the method
PCT/ES2014/070393 WO2014181024A1 (en) 2013-05-09 2014-05-09 Computer-implemented method for recognising and classifying abnormal blood cells, and computer programs for performing the method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
ES201330671A ES2428215B2 (en) 2013-05-09 2013-05-09 Computer-implemented method for recognition and classification of abnormal blood cells and computer programs to carry out the method

Publications (2)

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ES2428215A1 ES2428215A1 (en) 2013-11-06
ES2428215B2 true ES2428215B2 (en) 2014-10-07

Family

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Family Applications (1)

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ES201330671A Active ES2428215B2 (en) 2013-05-09 2013-05-09 Computer-implemented method for recognition and classification of abnormal blood cells and computer programs to carry out the method

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ES (1) ES2428215B2 (en)
WO (1) WO2014181024A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2659217C1 (en) * 2017-12-12 2018-06-28 федеральное государственное автономное образовательное учреждение высшего образования "Национальный исследовательский ядерный университет МИФИ" (НИЯУ МИФИ) Method for recognition of the structure of blood blast nuclei and bone marrow using light microscopy in combination with computer data processing for the diagnosis of b- and t-linear acute lymphoblastic leukemia
CN113516061B (en) * 2021-06-23 2022-04-29 南开大学 PC12 cell state identification method based on machine learning
CN114898866B (en) * 2022-05-24 2024-03-15 广州锟元方青医疗科技有限公司 Thyroid cell auxiliary diagnosis method, thyroid cell auxiliary diagnosis equipment and thyroid cell auxiliary diagnosis storage medium

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WO2014181024A1 (en) 2014-11-13
ES2428215A1 (en) 2013-11-06

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