Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 4 of 4 for “"Whole-slide imaging"”.

  1. Wide-field Polarimetric Second Harmonic Generation Microscopy for Histology Imaging

    … gold standard for cancer diagnostics. Large area imaging is required for practical applications of nonlinear microscopy in whole-slide digital pathology. Nonlinear optical histopathology encompasses multiscale imaging starting from the ultrastructural (nanoscopic) scale, where polarization of SHG …

    toronto-retro Repository record for Wide-field Polarimetric Second Harmonic Generation Microscopy for Histology Imaging (opens in a new tab)

  2. T-cell responses to human papillomavirus in men with anal high-grade squamous intraepithelial lesions

    … biopsies had stromal lymphoid aggregates. Using whole slide imaging (600x) and two-colour immunofluorescent staining, CD4+ and CD8+ T-cell densities were measured. Lymphoid aggregates were CD4+ T-cell enriched (2.8-fold higher in density, P<0.01) compared to CD8+ T-cells (1.7-fold higher, …

    unsw Repository record for T-cell responses to human papillomavirus in men with anal high-grade squamous intraepithelial lesions (opens in a new tab)

  3. Circular Probabilistic Based Color Processing: Applications in Digital Pathology Image Analysis

    … Past decade has witnessed the advent of whole-slide imaging, which fosters the research of digital pathology image understanding and automatic cancer diagnosis to address challenges in pathology. Color plays a vital role in digital pathology image analysis due to the use of chemical …

    toronto-retro Repository record for Circular Probabilistic Based Color Processing: Applications in Digital Pathology Image Analysis (opens in a new tab)

  4. DEEP LEARNING ALGORITHM FOR MOLECULAR CLASSIFICATION OF ENDOMETRIAL CANCER FROM WHOLE SLIDE HISTOPATHOLOGY IMAGES

    … EC molecular subtypes directly from H&E-stained whole-slide images (WSIs). From an initial cohort of 1,362 cases, 230 FFPE WSIs were selected and annotated to train three sequential binary classifiers (POLEmut vs non-POLE, MMRd vs non-MMRd, p53-abn vs NSMP), forming a hierarchical, clinically …

    milano Repository record for DEEP LEARNING ALGORITHM FOR MOLECULAR CLASSIFICATION OF ENDOMETRIAL CANCER FROM WHOLE SLIDE HISTOPATHOLOGY IMAGES (opens in a new tab)