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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

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  2. GabrooMarch 28, 2019 at 8:07 AM

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  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.

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