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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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Conference Papers


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Viewing entries tagged
Tissues

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

Breast cancer classification using parametric free thresholding adjacency statistics based Fibonacci patterns

May 11, 2020

Foram Sanghavi, Landry Kezebou, Karen Panetta and Sos Agaian, Proc. SPIE 11399, Mobile Multimedia/Image Processing, Security, and Applications 2020, 113990Q (11 May 2020).

Cancer, Breast cancer, Data modeling, Binary data, Tumor growth modeling, Tissues, Machine learning, Image classification, Feature extraction, Performance modeling

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