Literature DB >> 25991255

A CAD System for the Acquisition and Classification of Breast TMA in Pathology.

M Milagro Fernández-Carrobles1, Gloria Bueno1, Oscar Déniz1, Jesús Salido1, Marcial García-Rojo2, Lucía González-López3.   

Abstract

Breast cancer is the most common type of cancer and the fifth leading cause of death in women over 40. Therefore, prompt diagnostic and treatment is essential. In this work a TMA Computer Aided Diagnosis (CAD) system has been implemented to provide support to pathologists in their daily work. For that purpose, the tool covers each and every process from the TMA core image acquisition to their individual classification. The first process includes: tissue core location, segmentation and rigid registration of digital microscopic images acquired at different magnifications (5x, 10x, 20x, 20x and 40x) from different devices. The classification process allows performing the core classification selecting different types of color models, texture descriptors and classifiers. Finally, the cores are classified into three categories: malignant, doubtful and benign.

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Mesh:

Year:  2015        PMID: 25991255

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  PATMA: parser of archival tissue microarray.

Authors:  Lukasz Roszkowiak; Carlos Lopez
Journal:  PeerJ       Date:  2016-12-01       Impact factor: 2.984

2.  SlideJ: An ImageJ plugin for automated processing of whole slide images.

Authors:  Vincenzo Della Mea; Giulia L Baroni; David Pilutti; Carla Di Loreto
Journal:  PLoS One       Date:  2017-07-06       Impact factor: 3.240

3.  System for quantitative evaluation of DAB&H-stained breast cancer biopsy digital images (CHISEL).

Authors:  Lukasz Roszkowiak; Anna Korzynska; Krzysztof Siemion; Jakub Zak; Dorota Pijanowska; Ramon Bosch; Marylene Lejeune; Carlos Lopez
Journal:  Sci Rep       Date:  2021-04-29       Impact factor: 4.379

  3 in total

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