Browsing by Subject "Deep learning"

Now showing items 1-7 of 7

    • All-In-One Glomerular Quantification: Detection, Segmentation, and Lesion Characterization 
      Yao, Tianyuan; 0000-0002-1848-079X (2021-11-29)
      Department: Computer Science
      The quantitative detection, segmentation, and characterization of glomeruli from high-resolution whole slide imaging (WSI) play essential roles in the computer-assisted diagnosis and scientific research in digital renal ...
    • Deep learning models for aircraft landing safety assessment 
      Kong, Yingxiao; 0000-0002-1023-2767 (2022-07-22)
      Department: Civil Engineering
      A commercial civil aviation flight typically goes through multiple phases from flight planning to the final landing, including push back, takeoff, climb, cruise, descent, final approach, and landing. Among them, the final ...
    • Detecting web attacks with end-to-end deep learning 
      Pan, Yao; Sun, Fangzhou; Teng, Zhongwei; White, Jules; Schmidt, Douglas C.; Staples, Jacob; Krause, Lee (Journal of Internet Services and Applications, 2019-08-27)
      Web applications are popular targets for cyber-attacks because they are network-accessible and often contain vulnerabilities. An intrusion detection system monitors web applications and issues alerts when an attack attempt ...
    • End-to-End Automation Enables High Throughput Spleen Volume Assessment for Computed Tomography Clinical Trials 
      Moon, Hyeonsoo (2018-04-09)
      Department: Electrical Engineering
      Delineation of CT abdominal anatomical structure, especially spleen segmentation is essential for measuring tissue volume and biomarkers, so that it can be utilized not only as liver diseases and infection diagnosis purposes, ...
    • Evaluation of Contextual and Non-contextual Word Embedding Models Using Radiology Reports 
      Khan, Mirza; 0000-0001-7007-9437 (2021-12-02)
      Department: Biomedical Informatics
      Many clinical natural language processing (NLP) methods rely on non-contextual or contextual word embedding models. Yet, few intrinsic evaluation benchmarks exist comparing embedding model representations against human ...
    • Synthesizing Micro-CT from CT of the inner ear with 3D-conditional GANs 
      sun, xujuan; 0000-0001-8085-0010 (2021-03-23)
      Department: Computer Science
      Cochlear implants are surgically implanted neural prosthetic devices that are used to treat severe hearing loss. These devices are programmed post-implantation, and estimations of patient-specific neural activation patterns ...
    • Terrain Roughness Classification for Off-Road Autonomous Vehicles 
      Gresenz, Gabriela; 0000-0002-1105-1175 (2021-03-17)
      Department: Computer Science
      This research examines terrain roughness prediction for off-road autonomous vehicles as an image classification problem, labeling monocular images of upcoming drivable terrain with a measure of roughness derived from the ...