Are Natural Domain Foundation Models Useful for Medical Image Classification?

1 code implementation • 30 Oct 2023 • Joana Palés Huix, Adithya Raju Ganeshan, Johan Fredin Haslum, Magnus Söderberg, Christos Matsoukas, Kevin Smith

The deep learning field is converging towards the use of general foundation models that can be easily adapted for diverse tasks.

Image Classification Medical Image Classification

Pretrained ViTs Yield Versatile Representations For Medical Images

1 code implementation • 13 Mar 2023 • Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith

Convolutional Neural Networks (CNNs) have reigned for a decade as the de facto approach to automated medical image diagnosis, pushing the state-of-the-art in classification, detection and segmentation tasks.

Image Classification Medical Image Classification

What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors

1 code implementation • CVPR 2022 • Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith

Transfer learning is a standard technique to transfer knowledge from one domain to another.

Inductive Bias Transfer Learning

Is it Time to Replace CNNs with Transformers for Medical Images?

1 code implementation • 20 Aug 2021 • Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith

Convolutional Neural Networks (CNNs) have reigned for a decade as the de facto approach to automated medical image diagnosis.