Computer Vision News - July 2022

46 MedTech Research The following is the description of a single experiment on two different medical image applications. Two different challenging medical imaging scenarios were used to study how transfer learning from medical images benefits supervised learning. In both cases, they found that transfer learning can improve the learning stage of the model and generalize better in a more suitable manner. Transfer learning proved more beneficial than the pre-trained models of ImageNet. They went on to implement different experiments for other medical applications such as the MedNet idea.