在这个数据集中，你会得到一千多张DICOM格式的高危病人的低剂量CT图像。每张图像包含一系列胸腔的多个轴向切片。每张图像都有数量不等的二维切片，这可能根据扫描的机器和病人的不同而不同。

DICOM文件有一个标题，包含了关于病人ID的必要信息，以及扫描参数，如切片厚度。

In this dataset, you are given over a thousand low-dose CT images from high-risk patients in DICOM format. Each image contains a series with multiple axial slices of the chest cavity. Each image has a variable number of 2D slices, which can vary based on the machine taking the scan and patient.

The DICOM files have a header that contains the necessary information about the patient id, as well as scan parameters such as the slice thickness.

stage1.7z: 285380 dcm files
stage2.7z: 186160 dcm files
stage1_labels.csv: 1595 labels

License: No license specified, the work may be protected by copyright.
Bibtex:

@article{,
title= {Data Science Bowl 2017 Lung Cancer Detection (DSB3) },
keywords= {},
author= {},
abstract= {In this dataset, you are given over a thousand low-dose CT images from high-risk patients in DICOM format. Each image contains a series with multiple axial slices of the chest cavity. Each image has a variable number of 2D slices, which can vary based on the machine taking the scan and patient.

The DICOM files have a header that contains the necessary information about the patient id, as well as scan parameters such as the slice thickness.

```
stage1.7z: 285380 dcm files
stage2.7z: 186160 dcm files
stage1_labels.csv: 1595 labels
```
},
terms= {},
license= {},
superseded= {},
url= {https://www.kaggle.com/c/data-science-bowl-2017/data}
}