Skip to main content

Brain tumor dataset image labeled "no tumor"

Brain tumor dataset image labeled "no tumor"

Hello,

To be upfront, I am not a doctor, I'm a computer engineer. I'm making a neural network to identify brain tumors and I got this dataset from Kaggle.

The images are simply labeled "yes" or "no" for tumors, although I'm not sure how other abnormalities would be labeled. Some images are obviously tumors, or at least have obvious things wrong with them, from my untrained eye, but others are more ambiguous.

https://preview.redd.it/22v72wg4g6k81.jpg?width=276&format=pjpg&auto=webp&s=912fbf6c35da3d0668b6de8e9772c24a56222a5e

The image in this post is labeled "no" for tumors. However, there really does seem to be something wrong with it. Most other "no" images preserve a somewhat symmetrical shape, but this one has a big white spot on the right hemisphere.

Is that a tumor, some other condition, or somehow normal brain anatomy?

EDIT: I had not sent a message to the mods before posting this, as I had not seen the Additional Information. I apologize for that, I didn't know it was a problem. I have sent them a message now.

submitted by /u/Seth_Kresnik
[link] [comments]


source https://www.reddit.com/r/Radiology/comments/t1wsqi/brain_tumor_dataset_image_labeled_no_tumor/

Comments

Popular posts from this blog

Fibrous Dysplasia of the Skull

submitted by /u/ctisus [link] [comments] source https://www.reddit.com/r/Radiology/comments/111ej8m/fibrous_dysplasia_of_the_skull/

AI for radiology - A survey

Hello folks! We are a group of students from Karolinska Institutet and Stockholm University (Sweden). We are conducting a short survey (it should not take more than 10 minutes of your time) to evaluate an Artificial Intelligence framework for evaluating medical imaging and, in particular, the effect that explainability can have on clinicians' attitudes toward it. We welcome anyone who interacts with medical imaging to take our survey, so please, feel free to do it even if you are still a student or an intern! If you know someone who works in the field, please, pass them the survey. It would help us greatly. https://bit.ly/RTEX_survey Thanks in advance to all of you! submitted by /u/francozzz [link] [comments] source https://www.reddit.com/r/Radiology/comments/r2ratp/ai_for_radiology_a_survey/

RECIST 1.1 criteria

submitted by /u/Ok_Combination_889 [link] [comments] source https://www.reddit.com/r/Radiology/comments/z0c9do/recist_11_criteria/