Submited on: 24 Sep 2010 05:29:08 AM GMT
Published on: 24 Sep 2010 05:29:25 PM GMT
Segmentation and Characterization of Masses in Digital Mammograms
Posted by Dr. William J Maloney on 17 Jun 2014 04:27:34 PM GMT Reviewed by Interested Peers

  • What are the main claims of the paper and how important are they?

    The main purpose of this paper is to present an application which can be used to assist radiologists in the examination of the breast.

  • Are these claims novel? If not, please specify papers that weaken the claims to the originality of this one.


  • Are the claims properly placed in the context of the previous literature?


  • Do the results support the claims? If not, what other evidence is required?


  • If a protocol is provided, for example for a randomized controlled trial, are there any important deviations from it? If so, have the authors explained adequately why the deviations occurred?


  • Is the methodology valid? Does the paper offer enough details of its methodology that its experiments or its analyses could be reproduced?


  • Would any other experiments or additional information improve the paper? How much better would the paper be if this extra work was done, and how difficult would such work be to do, or to provide?


  • Is this paper outstanding in its discipline? (For example, would you like to see this work presented in a seminar at your hospital or university? Do you feel these results need to be incorporated in your next general lecture on the subject?) If yes, what makes it outstanding? If not, why not?

    Yes- It would be a great seminar at a medical school.

  • Other Comments:

    The authors provide a detailed methods section describing the modified gradient magnitude region growing technique. Watershed segmentation is also described. Two semi-automated approaches are presented for the segmentation of a tumor. These two semi-automated approaches are presented for the segmentation of a tumor. These approaches overcome sensitivity and accuracy limitations.

  • Competing interests:
  • Invited by the author to review this article? :
  • Have you previously published on this or a similar topic?:
  • References:


  • Experience and credentials in the specific area of science:

    Clinical associate professor

  • How to cite:  Maloney W J.Segmentation and Characterization of Masses in Digital Mammograms[Review of the article 'Segmentation And Characterization Of Masses In The Digital Mammograms ' by Gupta S].WebmedCentral 2014;5(6):WMCRW003079
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