slide1 n.
Skip this Video
Loading SlideShow in 5 Seconds..
SeminarposterFeb11 PowerPoint Presentation
Download Presentation

Loading in 2 Seconds...

play fullscreen
1 / 1

SeminarposterFeb11 - PowerPoint PPT Presentation

  • Uploaded on

Seminar Computer-aided Diagnosis of Melanoma using Whole Slide Skin Histopathological Images Speaker: Mrinal Mandal , University of Alberta Date/time and venue: Feb. 11th, 2014, 1:00 p.m., 3D03 (via Skype).

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
Download Presentation

PowerPoint Slideshow about 'SeminarposterFeb11' - len

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

SeminarComputer-aided Diagnosis of Melanoma using Whole Slide Skin HistopathologicalImagesSpeaker: MrinalMandal, University of AlbertaDate/time and venue: Feb. 11th, 2014, 1:00 p.m., 3D03 (via Skype)

  • Abstract: Melanoma is the most aggressive type of skin cancer, and the pathological examination remains the gold standard for the final diagnosis. Traditionally, the histopathology slides are examined manually under a microscope by pathologists which may be time consuming and. With the current advances in digital microscopy and high resolution slide scanners, it is possible to generate high resolution images of glass slides. In this talk, Dr. Mandal will present his work on computer-aided diagnosis technique for Melanoma by analyzing a skin whole slide image. This work is being done in collaboration with researchers from University of Alberta Hospital and Cross Cancer Institute, Edmonton. The developed CAD technique has five modules: (i) segmentation of epidermis/dermis layers, (ii) keratinocytes segmentation in the dermis/epidermis layer, (iii) melanocytes detection, (iv) feature construction and (v) classification. Since the dermis/epidermis layers, keratinocytes and melanocytes are important cues for the pathologists, these regions are first segmented and/or detected. Based on the segmented regions of interest, the spatial distribution and morphological features are constructed. These features, representing a skin tissue, are classified by a multi-class support vector machine classifier. Experimental results will be presented to demonstrate the satisfactory performance (with about 90% classification accuracy) of the CAD technique. The talk will conclude with some possible future research directions.
  • Brief bio of the speaker: Dr. MrinalMandal is a Professor and Associate Chair in the Department of Electrical and Computer Engineering, and is the Director of the Multimedia Computing and Communications Laboratory at the University of Alberta, Edmonton, Canada. He has authored the book Multimedia Signals and Systems (Springer), and the book Continuous and Discrete Time Signals and Systems (Cambridge University Press). His current research interests include Medical Image Analysis, which includes analysis of skin histopathological images, chest x-rays, and brain MRI images. He has published over 160 papers in refereed journals and conferences. He has been the Principal Investigator of projects funded by Canadian Networks of Centers of Excellence such as CITR and MICRONET, and is currently the Principal Investigator of a project funded by the NSERC. He has been recipients of Canadian Commonwealth Fellowship, and Humboldt Research Fellowship (Germany).