Hi. I’m new on the deep learning world, so I decided to build a model for pneumonia detection for my country. I’ve selected a well known dataset NIH Chest X-ray 1. It have 14 different classes but I interested only in two classes: Consolidation and Infiltration. I’ll use Data augmentation and transfer learning for the training. Could you please give me an example how train only these 2 clases? I’m thinking about read de csv label database delete images who not have the finding label.
Thank you in advance