Literature DB >> 22717207

A general framework for the segmentation of follicular lymphoma virtual slides.

Myriam Oger1, Philippe Belhomme, Metin N Gurcan.   

Abstract

Follicular lymphoma (FL) is one of the most common types of non-Hodgkin's lmphomas in the world. Diagnosis of FL is based on morphological and immunohistochemical characteristics found on tissue sections. Our project's aim is to develop computer-aided analysis tools on virtual slide images (VSI) of lymphoid tissues with the purpose of improving the FL grading performed in malignant follicles. In this paper, we focus on the first step of our work, an automated system for detecting follicles in VSI of lymphoid tissues. To mimic the human expert process, the system works on low-resolution CD20 images and maps the follicle boundaries on high-resolution H&E images.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID： 22717207      PMCID： PMC3457810          DOI： 10.1016/j.compmedimag.2012.05.003

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN： 0895-6111            Impact factor:   4.790


  7 in total

1.  Selection of an optimal neural network architecture for computer-aided detection of microcalcifications--comparison of automated optimization techniques.

Authors:  M N Gurcan; B Sahiner; H P Chan; L Hadjiiski; N Petrick
Journal:  Med Phys       Date:  2001-09       Impact factor: 4.071

2.  A statistics-based approach to binary image registration with uncertainty analysis.

Authors:  Katherine M Simonson; Steven M Drescher; Franklin R Tanner
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2007-01       Impact factor: 6.226

3.  Performance measure characterization for evaluating neuroimage segmentation algorithms.

Authors:  Herng-Hua Chang; Audrey H Zhuang; Daniel J Valentino; Woei-Chyn Chu
Journal:  Neuroimage       Date:  2009-04-05       Impact factor: 6.556

4.  Computerized pathological image analysis for neuroblastoma prognosis.

Authors:  Metin N Gurcan; Jun Kong; Olcay Sertel; B Barla Cambazoglu; Joel Saltz; Umit Catalyurek
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

5.  A clinical evaluation of the International Lymphoma Study Group classification of non-Hodgkin's lymphoma. The Non-Hodgkin's Lymphoma Classification Project.

Authors: 
Journal:  Blood       Date:  1997-06-01       Impact factor: 22.113

6.  Morphometric analysis of follicular center cell lymphomas.

Authors:  S H Swerdlow; R J Pelstring; R D Collins
Journal:  Am J Pathol       Date:  1990-10       Impact factor: 4.307

7.  Computer-aided Prognosis of Neuroblastoma on Whole-slide Images: Classification of Stromal Development.

Authors:  O Sertel; J Kong; H Shimada; U V Catalyurek; J H Saltz; M N Gurcan
Journal:  Pattern Recognit       Date:  2009-06       Impact factor: 7.740
  7 in total
  5 in total

Review 1.  Informatics Approaches to Address New Challenges in the Classification of Lymphoid Malignancies.

Authors:  Jacob Jordan; Jordan S Goldstein; David L Jaye; Metin Gurcan; Christopher R Flowers; Lee A D Cooper
Journal:  JCO Clin Cancer Inform       Date:  2018-02-09

2.  A multi-resolution textural approach to diagnostic neuropathology reporting.

Authors:  Mohammad Faizal Ahmad Fauzi; Hamza Numan Gokozan; Brad Elder; Vinay K Puduvalli; Christopher R Pierson; José Javier Otero; Metin N Gurcan
Journal:  J Neurooncol       Date:  2015-08-09       Impact factor: 4.130

3.  Classification of follicular lymphoma: the effect of computer aid on pathologists grading.

Authors:  Mohammad Faizal Ahmad Fauzi; Michael Pennell; Berkman Sahiner; Weijie Chen; Arwa Shana'ah; Jessica Hemminger; Alejandro Gru; Habibe Kurt; Michael Losos; Amy Joehlin-Price; Christina Kavran; Stephen M Smith; Nicholas Nowacki; Sharmeen Mansor; Gerard Lozanski; Metin N Gurcan
Journal:  BMC Med Inform Decis Mak       Date:  2015-12-30       Impact factor: 2.796

Review 4.  Artificial Intelligence and Digital Microscopy Applications in Diagnostic Hematopathology.

Authors:  Hanadi El Achi; Joseph D Khoury
Journal:  Cancers (Basel)       Date:  2020-03-26       Impact factor: 6.639

5.  A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections.

Authors:  Elena Casiraghi; Veronica Huber; Marco Frasca; Mara Cossa; Matteo Tozzi; Licia Rivoltini; Biagio Eugenio Leone; Antonello Villa; Barbara Vergani
Journal:  BMC Bioinformatics       Date:  2018-10-15       Impact factor: 3.169
  5 in total

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