Good day developer and Pyradiomics Communities
I have 300 ultrasonic images, 300 mammogram images and next month I will get 300 MRI images, all of these images are breast images, with the intention of classifying /detection of cancer.
However, these images do not contain annotation (ground truth/mask) from radiologists, but it has the description which images have cancer and which do not, all images are JPG format. I have the following questions.
1. Does it make sense to extract features using pyradiomics, without having annotation from a doctor/ radiologists, based on automatic segmentation to get images mask.
2. There is an open source code that I can convert jpg to NRRD format?
3. Have no great experience on medical images especially doing analysis, can I get open source code for doing analysis and how many images is required to have a good performance?