Publicado por Johns Hopkins Mobile medicine
1. This module consists of sequential steps, including approach to the gross (laterality/size)/microscopic characteristics (stratified/non-stratified epithelium) and immunohistochemical profiles of primary and the most common secondary mucinous tumors to the ovary, each step prompting the selection of one out of two presented options, until a final diagnosis is reached.
2. This app provides an easily accessible atlas with as many as possible images on each specific entity, common and rare documented variations on every neoplasm, along with succinct, explanatory descriptions that would aid the novice in the field as well as the experienced professional to arrive at the correct diagnosis.
3. It is composed of four modules: an interactive teaching algorithm, a searchable image atlas, an image-based quiz, and a flash card module.
4. The flash cards module allows you to view a randomly generated assortment of images from the image bank and subsequently view the diagnosis and caption by simply “flipping” the card over.
5. The Johns Hopkins Atlas of Ovarian Tumor Pathology is the fifth teaching app in our series from the Johns Hopkins University Department of Pathology.
6. The atlas can be viewed by diagnosis or by features (these features re-enforce the diagnostic features used in the algorithm), and the atlas can be searched using a key word search.
7. The image atlas contains over 1600 high resolution color images with expertly-authored captions.
8. Although the focus of this work is on neoplastic ovarian lesions, we have also included selected examples of non-neoplastic entities and normal ovarian structures we deem as important to recognize.
9. For our teaching algorithm, we present the reader with our general approach to the challenging mucinous tumors of the ovary.
10. You can create your own albums and add images you select from from the atlas to these albums.
11. These microscopic, macroscopic and radiographic images can be viewed together or separately, and two entities can be compared, side-by-side.
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| App | Baixar | Classificação | Desenvolvedor |
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Ovarian Tumor Pathology
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Obter aplicativo ou alternativas ↲ | 1 5.00
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Johns Hopkins Mobile medicine |
Ou siga o guia abaixo para usar no PC :
Escolha a versão do seu PC:
Requisitos de instalação de software:
Disponível para download direto. Baixe abaixo:
Agora, abra o aplicativo Emulator que você instalou e procure por sua barra de pesquisa. Depois de encontrá-lo, digite Ovarian Tumor Pathology na barra de pesquisa e pressione Pesquisar. Clique em Ovarian Tumor Pathologyícone da aplicação. Uma janela de Ovarian Tumor Pathology na Play Store ou a loja de aplicativos será aberta e exibirá a Loja em seu aplicativo de emulador. Agora, pressione o botão Instalar e, como em um dispositivo iPhone ou Android, seu aplicativo começará a ser baixado. Agora estamos todos prontos.
Você verá um ícone chamado "Todos os aplicativos".
Clique nele e ele te levará para uma página contendo todos os seus aplicativos instalados.
Você deveria ver o ícone. Clique nele e comece a usar o aplicativo.
Obtenha um APK compatível para PC
| Baixar | Desenvolvedor | Classificação | Versão atual |
|---|---|---|---|
| Baixar APK para PC » | Johns Hopkins Mobile medicine | 5.00 | 1.01 |
Baixar Ovarian Tumor Pathology para Mac OS (Apple)
| Baixar | Desenvolvedor | Comentários | Classificação |
|---|---|---|---|
| $4.99 para Mac OS | Johns Hopkins Mobile medicine | 1 | 5.00 |
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