Anatomic Pathology Flashcards vs Luigi

Full-color flashcards sharpen residents' visual analysis and interpretation skills. McGraw-Hill Specialty Board Review Anatomic Pathology Flashcards provide a fast, fun, and effective way for pathology residents to prepare for the anatomic pathology board exam they must pass in order to become certified. Features: • Set includes 260 full-color cards • Q&A mode features an unmarked slide image with short clinical presentation, and revealing the answer details key information such as: key physical features of the sample, epidemiology, histochemistry, and a differential diagnosis • Written by Cleveland Clinic's renowned pathology department This app is very intuitive and easy to navigate, allowing you to browse the contents or search for topics. The powerful search tool gives you word suggestions that appear in the text as you type, so it is lightning fast and helps with spelling those long medical terms. The search tool also keeps a recent history of past search terms so you can go back to a previous search result very easily. You can bookmark cards as Know and Don't Know to help you study. You can also create notes for cards to enhance your learning. You can also change the text size for easier reading. There is also a Q&A section in this app that will allow you to test your knowledge. After the app has been downloaded, no internet connection is needed to retrieve the content of the app. All of the text and images are available to you on your device anytime, anywhere, and lightning fast. This app is also automatically optimized for whatever size device you are currently using, either phone or tablet. Check out https://usatinemedia.com to learn more and watch a video demo of this app. This interactive app contains the full content of McGraw-Hill Specialty Board Review Anatomic Pathology Flashcards by McGraw-Hill Education. ISBN-13: 978-0071795029 ISBN-10: 0071795022 Authors: Deepa T. Patil, MD Assistant Professor, Cleveland Clinic Lerner College of Medicine Staff Pathologist, Cleveland Clinic Department of Anatomic Pathology, L-25 Cleveland, Ohio Deborah J. Chute, MD Assistant Professor, Cleveland Clinic Lerner College of Medicine Staff Pathologist, Cleveland Clinic Department of Anatomic Pathology, L-25 Cleveland, Ohio Richard A. Prayson, MD Professor, Cleveland Clinic Lerner College of Medicine Staff Pathologist, Cleveland Clinic Department of Anatomic Pathology, L-25 Cleveland, Ohio Disclaimer: This app is intended for the education of healthcare professionals and not as a diagnostic and treatment reference for the general population. Developed by Usatine Media Richard P. Usatine, MD, Co-President, Professor of Family & Community Medicine, Professor of Dermatology and Cutaneous Surgery, University of Texas Health San Antonio Peter Erickson, Co-President, Lead Software Developer

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.