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
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