Luigi 與 CytoAtlas 使用情況與統計

This is the client app of Luigi web application which allows you to submit an image of your case easily without special equipment and view the retrieved results on the smartphone. ----------------- Luigi: Large Scale HistoPathological Image Retrieval System - https://luigi-pathology.com/ Luigi web application has the following features. - Use a deep texture representation to calculate relevance metrics between pathological images, which enables the proposed system to find relevant images that do not depend on spatial information, such as the location of cells. - Not require extra learning; thus, any tissues, cells, and even artifacts can be searched without training. ----------------- Users can search their own histopathology image in two different databases. Luigi-Genome This database contains more than 7,000 cases from 32 cancer types with genomic features and clinical information included in The Cancer Genome Atlas (TCGA) database. Additionally, registered users can use a function for somatic mutation prediction. - TCGA: The histopathological images of Luigi are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/. - cBioPortal: Cerami et al. The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data. Cancer Discovery. May 2012 2; 401. Gao et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci. Signal. 6, pl1 (2013). Luigi-oral This database contains 605 cases across 85 oral tumor categories, including salivary gland, odontogenic, and maxillofacial bone tumors.

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CytoAtlas

CytoAtlas provides a quick and handy cytopathology reference tool focusing on diagnostic criteria. Content: - Over 800 high-quality slide images from exfoliative and aspiration cytology - Over 120 diagnostic entities in Cytopathology categorized by different organ systems - Slide images, including direct smears, cell blocks, and liquid-based preparations - Key morphologic characteristics, including architecture, nuclear, and cytologic features - Reference to journal articles and ancillary studies, if relevant Features - Intuitive and distraction-free interface - Chapters can be navigated by scrolling up and down - Images can be opened by tapping and selecting a diagnostic entity - Multiple images can be navigated by swiping across - High-quality slide images with zoom and pan function - Key features can be accessed by tapping an icon at the bottom - CytoAtlas requires an active internet to view images CytoAtlas is a learning aid for physicians, medical students, and technologists interested in cytopathology. It also provides a quick reference resource for common cytologic diagnoses. Created by Cytopathologists, the current database has high-quality slide images with morphologic descriptions and highlighted key features in over 100 diagnostic entities. In this initial release, we have included the most common entities encountered in the practice of exfoliative and aspiration cytology, including normal and malignant.