---
title: "Ovarian Tumor Pathology — App Overview"
url: https://marlvel.ai/apps/ovarian-tumor-pathology
category: Education
developer: Johns Hopkins Mobile medicine
platforms: ios
rating: 5.0 (1 ratings)
pricing: paid
report_level: overview
generated: 2026-05-08
last_verified: "2026-05-08T19:05:07.554Z"
overall_rating: 5
total_reviews: 1
data_age_days: 67
---

<!-- SECTION: Key Insight -->
> **Key Insight:** This app functions as a specialized digital atlas for pathology education and diagnostic reference, developed by the Johns Hopkins University Department of Pathology.

<!-- SECTION: Quick Facts -->
| Metric | Value |
|--------|-------|
| Category | Education |
| Rating | 5.0 ★ (1) |
| Pricing | paid |
| Platforms | iOS |
| Latest Version (iOS) | 1.4.2 |
| Developer | Johns Hopkins Mobile medicine |

<!-- SECTION: Summary -->
## What is Ovarian Tumor Pathology?

The Johns Hopkins Atlas of Ovarian Tumor Pathology is a specialized educational reference tool designed to assist in the diagnosis of neoplastic and non-neoplastic ovarian lesions. It provides a comprehensive visual library featuring common and rare documented variations of neoplasms, supported by explanatory descriptions. The app serves as the fifth installment in the Johns Hopkins Atlases of Pathology series.

<!-- SECTION: Key Features -->
## Key Features

- **Comprehensive Image Atlas**: Provides an extensive collection of images for specific neoplastic entities, including common and rare variations.
- **Diagnostic Explanations**: Includes succinct, explanatory text designed to assist users in arriving at accurate diagnoses.
- **Non-Neoplastic Coverage**: Features selected examples of non-neoplastic entities and normal ovarian structures for clinical context.

<!-- SECTION: Target Audience -->
## Who is it for?

Medical professionals and students in the field of pathology seeking diagnostic reference material.

<!-- SECTION: Links -->
## Links

- [App Store](https://apps.apple.com/us/app/ovarian-tumor-pathology/id1450813424?uo=4)
- [Full Intelligence Report](https://marlvel.ai/apps/ovarian-tumor-pathology)

---
*This is an overview report. Sentiment analysis, competitive landscape, and SWOT analysis are available in the [full intelligence report](https://marlvel.ai/apps/ovarian-tumor-pathology).*
*Generated by [Marlvel.ai](https://marlvel.ai) — Independent app intelligence.*