1. Automatic Feature Extraction of Optical Coherence Tomography for Lamina Cribrosa Detection

    Automatic Feature Extraction of Optical Coherence Tomography for Lamina Cribrosa Detection

    T his paper presents a framework to segment and extract key features automatically in Optical Coherence Tomography (OCT) scans. One of the main features to be detected is the Lamina Cribrosa (LC), which is an optic nerve head structure believed to play a crucial role in glaucomatous optic neuropathy. Detection of the LC aids in understanding pathogenesis and detection of glaucoma. Automatic segmentation allows a quick and objective way of identifying the LC. In previous work, LC segmentation has been manual; hence, the aim is to achieve automatic and accurate segmentation. Automatic detection is a novel approach, and very important ...

    Read Full Article

    Login to comment.

  1. Categories

    1. Applications:

      Art, Cardiology, Dentistry, Dermatology, Developmental Biology, Gastroenterology, Gynecology, Microscopy, NDE/NDT, Neurology, Oncology, Ophthalmology, Other Non-Medical, Otolaryngology, Pulmonology, Urology
    2. Business News:

      Acquisition, Clinical Trials, Funding, Other Business News, Partnership, Patents
    3. Technology:

      Broadband Sources, Probes, Tunable Sources
    4. Miscellaneous:

      Jobs & Studentships, Student Theses, Textbooks
  2. Topics Mentioned

  3. Authors