Skip to main content

Dr. Gurcan to Present OSU Neurology Ground Rounds

Dr. Gurcan to Present OSU Neurology Ground Rounds

Dr. Gurcan is going to present the Ohio State University Wexner Medical Center Neurology Ground Rounds talk. His talk of "Histopathological Image Analysis: Now and Future” will feature the current status of histopathological image analysis, descriptions of how the current medical practice can benefit from computerized image analysis, and discussion of the new trends in this rapidly growing field.
Tuesday, October 21, 2014
7:30-8:30 a.m
105 Biomedical Research Tower, 460 W. 12th Avenue.


Comments

  1. AnonymousMarch 24, 2019 at 10:21 PM

    Mentor is here and the majority of its group is endeavoring to get the essential things which they are attempting to get from his mentor. Here is we are attempting to discover many visit the website things all these sort of things is hurling numerous imperative for us we might attempt get and apply this on our preparation.

    ReplyDelete
  2. AnonymousMarch 25, 2019 at 12:31 AM

    We can see an excellent young lady in this image and she is looking so great. I am going to share this blog not on great post to read site but rather some different locales. Along these lines we can incorporate this blog into fascinating online journals.

    ReplyDelete
  3. AnonymousMarch 25, 2019 at 12:48 AM

    Virgin Galactic was an individual led initially controlled trip of the new spaceship. We ought to value this assignment of him as we acknowledge understudies on dealing with more. Sharing of web journals and articles on various sites is a best and gainful thought for the understudies and different perusers.

    ReplyDelete

Post a Comment

Popular posts from this blog

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

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 10 th 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 w...
Post a Comment
Read more

Drs. Goceri, Kus, and Senaras Present at OSUMC Research Day

On April 25th, Drs. Goceri, Kus, and Senaras presented their research at the OSUMC Research Day.  Dr. Evgin Goceri presented “Automatic and Robust Segmentation of Liver and Its Vessels from MR Datasets for Pre-Evaluation of Liver Translation” which proposed a robust and fully automated method for segmenting the liver and its vessels from MR images. Dr. Goceri’s study presented a novel approach to reducing processing time by employing binary regularization of the level set function. The fully-automatic segmentation of liver and its vessels with the proposed method was more efficient than manual approach and the other methods in the literature in terms of processing time and accuracy. Dr. Pelin Kus presented “Segmentation and Quantification of Tissue Necrosis in Tuberculosis” which focuses on how the immune system of patients infected with M. tuberculosis responds by using many types of cells including macrophages that form granulomas within the pulmonary tissue. Segmentati...
3 comments
Read more