Literature DB >> 15650524

Is JPEG compression of videomicroscopic images compatible with telediagnosis? Comparison between diagnostic performance and pattern recognition on uncompressed TIFF images and JPEG compressed ones.

Stefania Seidenari1, Giovanni Pellacani, Elena Righi, Anna Di Nardo.   

Abstract

Early melanoma diagnosis is an important goal for dermatologists. Polarized light systems are increasingly employed for dermatoscopic diagnosis of melanocytic lesions. For the purpose of teledermoscopy, whose importance is increasingly growing for consultation and teaching purposes, it is of utmost importance to establish whether, after compression, polarized light images maintain their informativeness. The aim of our study was to check the effects of compression on melanocytic lesion images acquired by means of a digital videomicroscope on the identification of morphological details of the image and on diagnostic accuracy. A total of 170 50-fold-magnified pigmented skin lesion images, acquired in Tagged Image File Format (TIFF) by a digital videomicroscope, were compressed using Joint Photographic Experts Group (JPEG) algorithms (compression factor 30). Two experts in videomicroscopy evaluated both original and compressed images twice by describing single lesion features and expressing a diagnosis. Reproducibility in the assessment of dermoscopic parameters and observer performance were studied by kappa statistics and Receiver Operating Characteristic (ROC) analysis. Both intra- and interobserver reproducibility in the assessment of morphological details were higher when TIFF images were considered, indicating a better image quality. Nonetheless, there was no significant difference in the diagnostic accuracy between uncompressed images and compressed ones, although the intraobserver reproducibility in the diagnostic judgement was higher for uncompressed images. Despite loss in image details, factor 30 compressed videomicroscopic images enable a good diagnostic accuracy.

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Year:  2004        PMID: 15650524     DOI: 10.1089/tmj.2004.10.294

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  5 in total

1.  Uncompressed high-definition videoconferencing tools for telemedicine and distance learning.

Authors:  Kai Zhang; Wei-Li Liu; Craig Locatis; Michael Ackerman
Journal:  Telemed J E Health       Date:  2013-06-29       Impact factor: 3.536

2.  Visual inspection and dermoscopy, alone or in combination, for diagnosing keratinocyte skin cancers in adults.

Authors:  Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Rubeta N Matin; Kai Yuen Wong; Roger Benjamin Aldridge; Alana Durack; Abha Gulati; Sue Ann Chan; Louise Johnston; Susan E Bayliss; Jo Leonardi-Bee; Yemisi Takwoingi; Clare Davenport; Colette O'Sullivan; Hamid Tehrani; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

3.  Dermoscopy, with and without visual inspection, for diagnosing melanoma in adults.

Authors:  Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Lavinia Ferrante di Ruffano; Rubeta N Matin; David R Thomson; Kai Yuen Wong; Roger Benjamin Aldridge; Rachel Abbott; Monica Fawzy; Susan E Bayliss; Matthew J Grainge; Yemisi Takwoingi; Clare Davenport; Kathie Godfrey; Fiona M Walter; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

4.  Teledermatology for diagnosing skin cancer in adults.

Authors:  Naomi Chuchu; Jacqueline Dinnes; Yemisi Takwoingi; Rubeta N Matin; Susan E Bayliss; Clare Davenport; Jacqueline F Moreau; Oliver Bassett; Kathie Godfrey; Colette O'Sullivan; Fiona M Walter; Richard Motley; Jonathan J Deeks; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

5.  Influence of study design on digital pathology image quality evaluation: the need to define a clinical task.

Authors:  Ljiljana Platiša; Leen Van Brantegem; Asli Kumcu; Richard Ducatelle; Wilfried Philips
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-21
  5 in total

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