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Karen Panetta

  • Home
  • About
    • Dr. Panetta
    • Contact
  • Research
    • Research Topics
    • Lab Members
    • Patents
    • Download
  • Publications
    • Journal Articles
    • Book Chapters
    • Books
    • Conference Papers
    • Magazine Articles
    • Newspaper Articles
  • Professional
    • IEEE
    • SPIE
    • SWE
  • Media
    • News
    • Events
    • Video
  • Teaching
  • Blog
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Viewing entries tagged
Cervical cancer

Machine learning based classification system using depth-dependent variation encoding for classifying cervical two-photon excited fluorescence image stacks

May 27, 2022

Foram Sanghavi, Karen Panetta, Sos Agaian, Christopher Polleys, Hong-Thao Thieu, Elizabeth Genega, and Irene Georgakoudi, Proc. SPIE 12100, Multimodal Image Exploitation and Learning 2022, 121000T (27 May 2022);

Image enhancement, Denoising, Tissues, Computer programming, Feature extraction, Image classification, Luminescence, Classification systems, Machine learning, Cervical cancer, Two photon excitation microscopy

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