Skip to main content

Dr. Fauzi Presents Research at International Scholar Research Exposition

Dr. Mohammed Faizal Ahmad Fauzi of the CIA Lab was recognized at the International Scholar Research Exposition in November. The exposition showcases some of the research done by the more than 1600 international visiting scholars. It recognizes the scholars’ presence on campus and the contribution to the university and global community. Dr. Fauzi, of Malaysia, was one of 45 proposals to be accepted. Dr. Fauzi’s research will continue to be displayed in Bricker Hall at The Ohio State University through the end of the year.


Dr. Fauzi’s project addressed the issue of characterizing chronic wounds into granulation, slough, and eschar tissue. The innovative aspects of this work include: definition of a wound characteristic’s specific probability map for segmentation, computationally efficient regions growing with channel selection, and auto-calibration of measurements with the content of the image. A red, yellow, black probability map is used to detect the three tissue types while white labels are used to calibrate the size. The goal is to make this project the first step in developing a wound analysis software tool.

More information about Dr. Fauzi’s project can be found here.

Comments

  1. GabrooMarch 28, 2019 at 1:51 AM

    Clinical image analysis is the area where you can find the new research with the best zone. An International program where you can find the better fun zone. Get your deal with https://residencypersonalstatements.net/about-us and find the real area of this zone of exposition.

    ReplyDelete

Post a Comment

Popular posts from this blog

CIALAB encouraging talented young minds with summer internships

CIALAB is pleased to introduce the three interns namely Tong Gan, Rosana Rodriguez Milanes and Michael Priddy working through summer’09. Rosana Rodriguez Milanes - I am a third year undergraduate student in Electronic Engineering from Universidad del Norte, Colombia. My experience as a volunteer foreign student in the Clinical Image Analysis Laboratory has been an edifying, gratifying and enriching. Being able to participate, to learn and to collaborate in the Clinical Image Analysis Laboratory during the past two weeks has allowed me to improve my analytical and interpretative skills in processing histopathological and MRI images. I have been able to learn about segmentation, region growing, splitting and merging algorithms development. I have also had the privilege of knowing and interacting with excellent engineers who have helped me improve my skills as a foreign student. I am grateful for the opportunity that the Ohio State University has given me to collaborate and to learn with...
1 comment
Read more

Dr. Gurcan to present a tutorial at IEEE ICASSP 2010

Dr. Gurcan will present a tutorial at IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2010 entitled “Biomedical Image Processing and Analysis Techniques.” ( http://www.icassp2010.org/Tutorial_03.asp) Biomedical image processing and analysis requires coordinated efforts of medical professionals, algorithmic and software engineers, and statisticians. Basic image processing techniques are frequently used in every aspect of the development from initial pre-processing techniques for noise reduction, to segmentation of lesions, to registration of lesions. Recent advances in hardware and software have made it possible to create digital scans of whole slides. These images are relatively large (100k x 100k) and in color, hence processing them present new challenges. Similarly, new computed tomography and magnetic resonance imaging scanners produce thousands of slices of images. The processing need for these images are enormous. Although biomedical image analy...
Post a Comment
Read more

Meniscus research to be presented at 2009 OARSI World Congress on Osteoarthritis

CIALAB work detailing relationships between the meniscus and cartilage, and their implications in the development and progression of osteoarthritis, has been accepted for presentation at the 2009 OARSI World Congress on Osteoarthritis. The analysis was performed by Jeff Prescott, Furqan Haq PhD, Tom Best MD/PhD, Micheal Pennell PhD, Rebecca Jackson MD, and Metin Gurcan PhD. The full abstract appears below. Purpose : To determine associations between meniscus volume and knee cartilage morphological measurements in subjects with osteoarthritis (OA). Methods : All data was obtained from the Osteoarthritis Initiative’s (OAI) public use dataset (www.oai.ucsf.edu). A sample of progression subjects produced by the OAI was used for the study (Subgroup B, release 0.B.2). Out of the 160 subjects in the sample, two had no discernable meniscus and were excluded, leaving 158 subjects in the analysis. The current study focused on the right knee, as this was the only knee for which cartilage measur...
1 comment
Read more