You are using an outdated browser. Please upgrade your browser to improve your experience.
Johns Hopkins Atlas of Surgical Neuropathology

Volume 3 in the Series: The Johns Hopkins Atlases of Pathology

Volume 3 in the Series: The Johns Hopkins Atlases of Pathology

Johns Hopkins Atlas of Surgical Neuropathology

by Johns Hopkins Mobile medicine
Johns Hopkins Atlas of Surgical Neuropathology
Johns Hopkins Atlas of Surgical Neuropathology
Johns Hopkins Atlas of Surgical Neuropathology

What is it about?

Volume 3 in the Series: The Johns Hopkins Atlases of Pathology

Johns Hopkins Atlas of Surgical Neuropathology

App Details

Version
1.0.1
Rating
NA
Size
317Mb
Genre
Medical Education
Last updated
March 14, 2017
Release date
March 3, 2017
More info

App Screenshots

Johns Hopkins Atlas of Surgical Neuropathology screenshot-0
Johns Hopkins Atlas of Surgical Neuropathology screenshot-1
Johns Hopkins Atlas of Surgical Neuropathology screenshot-2
Johns Hopkins Atlas of Surgical Neuropathology screenshot-3
Johns Hopkins Atlas of Surgical Neuropathology screenshot-4

App Store Description

Volume 3 in the Series: The Johns Hopkins Atlases of Pathology

AUTHORS: Fausto J. Rodriguez and Charles G. Eberhart

SERIES EDITORS: Toby C. Cornish, Norman J. Barker, and Ralph H. Hruban

The Johns Hopkins Atlas of Surgical Neuropathology is the third teaching app in our series from the Johns Hopkins University Department of Pathology. This teaching tool was designed for medical students, residents, fellows, and practicing pathologists and is composed of several modules: an interactive teaching algorithm, a searchable image atlas, an image-based quiz and a flashcard module. The image atlas contains over 800 high resolution color images and MRIs with captions authored by a leading expert and covers 174 diagnostic entities. The teaching algorithm covers the diagnosis of diffuse gliomas and employs the updated 2016 WHO criteria for classification of tumors of the central nervous system. The role of molecular data in diagnosis is incorporated into the algorithm using a practical approach.

We welcome your feedback, just e-mail Dr. Fausto Rodriguez (frodrig4@jhmi.edu) or Dr. Charles Eberhart (ceberha@jhmi.edu). If you find an error, please let us know so we can correct it.

Disclaimer:
AppAdvice does not own this application and only provides images and links contained in the iTunes Search API, to help our users find the best apps to download. If you are the developer of this app and would like your information removed, please send a request to takedown@appadvice.com and your information will be removed.