Skip to main content

Four Papers Accepted to SPIE Medical Imaging Symposium

Four papers by the Clinical Image Analysis Lab researchers have been accepted to be presented as oral presentations at the SPIE Medical Imaging Symposium to be held in San Diego, CA on 27 February - 3 March 2016. 

The first paper, Computer-assisted bladder cancer grading: α-shapes for color space decomposition presents an automatic method to differentiate carcinoma in situ (CIS) from normal/reactive cases from hematoxylin and eosin (H&E) stained images of bladder. This method, which helps with diagnosis of the fifth most commonly diagnosed cancer in the US, determines and compares cell and nuclei characteristics in order to differentiate cancer precursor cells from normal bladder cells.

The second  paper, Hotspot Detection in Pancreatic Neuroendocrine Tumors: Density Approximation by α-shape Maps describes the development of an automatic method to detect all potential hotspots in neuroendocrine tumors of the digestive system, which are typically determined manually by pathologists. 

The third paper, Intraoperative Neuropathology of Glioma Recurrence: Cell Detection and Classification, presents a method to detect cells in H&E stained digitized slides of intraoperative cytologic preparations and demonstrates how red blood cells are filtered from the H&E stained images.

All these three papers will be presented as part of the Digital Pathology Conference  http://www.spie.org/mi109.

The fourth paper, Acne Image Analysis: Lesion Localization and Classification, which will be presented at the Computer-aided Diagnosis Conference, covers the processes of region-of-interest extraction and acne lesion feature extraction in order to validate the severity of acne from an image. Currently, there are further studies underway to further improve the algorithm performance and validate it on a larger database.

All this work was done in collaboration with leading researchers at The Ohio State University as well as at other universities.

1.       Abas FS, Kaffenberger B, Bikowski J, Gurcan MN, “Acne Image Analysis: Lesion Localization and Classification,” (Accepted) SPIE Medical Imaging 2016, 27 February - 3 March 2016, San Diego, CA.
2.       Abas FS, Gokozan HN, Goskel B, Otero J, Gurcan MN, “Neuropathological Cell Detection and Classification of H&E-Stained Images.” (Accepted) SPIE Medical Imaging 2016, 27 February - 3 March 2016, San Diego, CA.
3.       Niazi K, Parwani A, Gurcan MN, “Computer-assisted bladder cancer grading: α-shapes for color space decomposition,” (Accepted) SPIE Medical Imaging 2016, 27 February - 3 March 2016, San Diego, CA.
4.       Niazi K, Hartman D, Pantanowitz L, Gurcan MN, “Hotspot Detection in Pancreatic Neuroendocrine Tumors: Density Approximation by α-shape Maps,” (Accepted) SPIE Medical Imaging 2016, 27 February - 3 March 2016, San Diego, CA


Further information about these papers and projects can be found on the CIALAB web page: http://www.bmi.osu.edu/cialab

Comments

  1. GabrooMarch 28, 2019 at 7:58 AM

    These four papers have been a myth on the side of paper management as this is the ideal time for them to overcome any problem they have on their papers and this site is providing them the relief they will be facing in their near future.

    ReplyDelete
  2. GabrooMarch 28, 2019 at 8:07 AM

    I am happy that they accepted those four papers and this is the time for them to click https://familymedicine.residencypersonalstatements.net/best-family-medicine-residency-programs and get the ideal education from the best site they have available at that time.

    ReplyDelete
  3. mikonMarch 28, 2019 at 8:27 AM

    If authorities agree with the research so this must be published int he best journals and the readers must go to website to read what they have found form the very basics.

    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

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

BMI researchers to receive prestigious Intramural Award

BMI researcher Metin Gurcan, PhD (Professor, Director of Division of Clinical and Translational Informatics) in collaboration with Anil Parwani, MD, PhD, MBA (Vice Chair of Pathology) and Cheryl Lee, MD (Chair of Urology) have been awarded one of the prestigious OSU Comprehensive Cancer Center Intramural Research Funding Awards. The research team for the project also includes Soledad Fernandez, PhD (BMI), Nancy Single (CCC), Khalid Niazi, PhD (BMI) and Brett Klamer, MS (BMI).   The two-year project, entitled Application of image analysis tools to accurately stage and risk stratify patients with T1 bladder cancer, will be primarily funded by Pelotonia dollars. Pelotonia is a three-day bike tour organized every year in Columbus to raise money for cancer research with one goal: “End Cancer.” Every rider-raised dollar goes to fund research at The Ohio State University Comprehensive Cancer Center. Bladder cancer is an important disease that affects nearly 77,000 people annuall...
3 comments
Read more