license:mit size_categories:n<1K format:csv modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# UltrasoundPelvisDiseases

tags: Classification, Ultrasound Radiology, Gynecological Diseases

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'UltrasoundPelvisDiseases' dataset comprises high-resolution ultrasound images categorized into various gynecological diseases, which can be identified through the use of machine learning techniques. Each row in the dataset represents an ultrasound image of the pelvis, and the corresponding label indicates the diagnosis or potential condition observed. This dataset is specifically crafted to support research and training for radiology classification models focused on identifying gynecological diseases.

**CSV Content Preview:**

```
Image_ID,Image_URL,Diagnosis,Labels
U12345,https://example.com/ultrasound/U12345.jpg,"Endometrial Hyperplasia","Endometrial, Hyperplasia"
U23456,https://example.com/ultrasound/U23456.jpg,"Ovarian Cyst","Ovarian, Cyst"
U34567,https://example.com/ultrasound/U34567.jpg,"Uterine Fibroids","Uterine, Fibroids"
U45678,https://example.com/ultrasound/U45678.jpg,"Pelvic Inflammatory Disease","Pelvic, Inflammatory Disease"
U56789,https://example.com/ultrasound/U56789.jpg,"Ectopic Pregnancy","Ectopic, Pregnancy"
```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=UltrasoundPelvisDiseases&tags=Classification,+Ultrasound+Radiology,+Gynecological+Diseases
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
