https://academictorrents.com/details/fdc91f11d7010f7259a05403fc9d00079a09f5d5

Tags: radiology

Abstract:

Data

5000 frontal chest X-ray images with foreign objects presented and 5000 frontal chest X-ray images without foreign objects were filmed and collected from about 300 township hosiptials in China. 12 medically-trained radiologists with 1 to 3 years of experience annotated all the images. Each annotator manually annotates the potential foreign objects on a given chest X-ray presented within the lung field. Foreign objects were annotated with bounding boxes, bounding ellipses or masks depending on the shape of the objects. Support devices were excluded from annotation. A typical frontal chest X-ray with foreign objects annotated looks like this:

Annotation

Object-level annotations for each image, which indicate the rough location of each foreign object using a closed shape.

Annotations are provided in csv files and a csv example is shown below.

image_path,annotation
/path/#####.jpg,ANNO_TYPE_IDX x1 y1 x2 y2;ANNO_TYPE_IDX x1 y1 x2 y2 ... xn yn;...
/path/#####.jpg,
/path/#####.jpg,ANNO_TYPE_IDX x1 y1 x2 y2
...

Three type of shapes are used namely rectangle, ellipse and polygon. We use 0, 1 and 2 as ANNO_TYPE_IDX respectively.

• For rectangle and ellipse annotations, we provide the bounding box (upper left and lower right) coordinates in the format x1 y1 x2 y2 where x1 < x2 and y1 < y2.
• For polygon annotations, we provide a sequence of coordinates in the format x1 y1 x2 y2 ... xn yn.

Note:Our annotations use a Cartesian pixel coordinate system, with the origin (0,0) in the upper left corner. The x coordinate extends from left to right; the y coordinate extends downward.

Organizers

JF Healthcare is the primary organizer of this challenge.

URL: https://web.archive.org/web/20201127235812/https://jfhealthcare.github.io/object-CXR/
License: 

https://creativecommons.org/licenses/by-nc/4.0/