Skip to main content

Drs. Abas, Goceri, and Kus Present Research at International Scholar Research Exposition

Out of more than 1,800 international visiting scholars at the Ohio State University, Dr. Abas of Malaysia and Drs. Goceri and Kus of Turkey were three of thirty-three finalists chosen to present their research at the International Scholar Research Exposition. The exposition recognizes the presence of visiting scholars on campus and their contribution to the university and global community. On November 20,2015, the Opening Reception of the 10th Annual International Scholar Research Exposition was held for the finalists to present their research.  Their posters will be on display during November and December in Bricker Hall.




 

Dr. Abas’s poster was titled “Acne Image Analysis: Lesion Localization and Classification.” His research addressed the assessment of acne and used a computer-assisted image analysis approach to generate region-of-interest map for acne lesions as a preliminary step to count the number of lesions within a specific area. This research would greatly benefit the development of new pharmaceuticals by accurately quantifying and evaluating the severity of acne. More information about his research can be found at https://oia.osu.edu/scholar-research-exposition/research-summaries-2015/3974-acne-image-analysis-lesion-localization-and-classification.html.




Dr. Goceri’s research, “Segmentation and Visualization of Liver and Vessels from Abdominal SPIR MR Images,” focused on segmenting liver and vessels, which is often identified differently by separate radiologists. Her research used a fully-automated segmentation approached that contained an energy function of her design that uses properties of a closed curve to define the liver automatically. This research helps provide precise measurements and analysis of liver and vessels which is of vital importance in pre-evaluation for liver transplantation.  More information about her research can be found at https://oia.osu.edu/scholar-research-exposition/research-summaries-2015/3988-segmentation-and-visualization-of-liver-and-vessels-from-abdominal-spir-mr-images.html.





Dr. Kus’s research, “Detection and Segmentation of Necrosis from Histopathological Slides of Mycobacterium Tuberculosis Infected Lung Tissue,” focused on developing computer-assisted image analysis methods to detect and segment necrosis on sections of tuberculosis infected guinea pig lungs. Her research segment necrosis regions from the granuloma by classifying the image pixels into necrotic and non-necrotic areas and was done using an integrated framework of feature extraction and a morphological tissue segmentation algorithm. This research has developed algorithms to help understand pulmonary tuberculosis, which will help to better identify and treat infected patients. More information about her research can be found at https://oia.osu.edu/scholar-research-exposition/research-summaries-2015/3996-detection-and-segmentation-of-necrosis-from-histopathological-slides-of-mycobacterium-tuberculosis-infected-lung-tissue.html.

Comments

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

Recent publications

The CIA lab has recently had 4 articles published in PLOS One and the Journal of Urology. Automated Staging Of T1 Bladder Cancer Using Digital Pathologic H&E Images: A Deep Learning approach (Journal of Urology). The paper discusses the need for accurately gauging tumor cell intrusion into Lamina Propria in an effort to substage bladder cancer. It explains how transfer learning in conjunction with Convolutional Neural Networks can be used to accurately identify different bladder layers and then compute the distance between tumor nuclei and Lamina Propria. The article is available here:  https://www.jurology.com/article/S0022-5347(18)41148-2/pdf Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning (PLOS One). This paper examines a proposed methodology to automatically differentiate between NET and non-tumor regions based on images of Ki67 stained biopsies. It also uses transfer learning to exploit a rich set of features ...
6 comments
Read more

CIALAB has moved to Wake Forest

The Clinical Image Analysis Lab (CIALAB) that was started by Dr. Metin Gurcan in 2005 at the Ohio State University has moved to Wake Forest School of Medicine. The new lab at Wake Forest will retain its name, but its web page will now be located at : http://tsi.wakehealth.edu/CIALab/   Dr. Gurcan was recruited as the inaugural Director of the Center for Biomedical Informatics at Wake Forest School of Medicine. The newly established Center will strengthen Wake Forest’s infrastructures for informatics research in genomics, imaging, healthcare delivery, and population health and support the informatics needs of other research centers. In so doing, the Center will promote Wake Forest Baptist Health's evolution as a learning health care system. A further goal of the Center is to train the next generation of investigators in the principles and practice of biomedical informatics.   The CIALab has been one of the leading research labs in the world and known for its innovative and ...
3 comments
Read more