Article

LegoNet: Alternating Model Blocks for Medical Image Segmentation

2023-06-19

Abstract excerpt

Since the emergence of convolutional neural networks (CNNs), and later vision transformers (ViTs), the standard paradigm for model development has been using a set of identical block types with varying parameters/hyper-parameters. To leverage the benefits of different architectural designs (e.g., CNNs and ViTs), we propose alternating structurally different types of blocks to generate a new architecture, mimicking...

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Literature Corpus work: 76655f32-fdf1-5358-a975-fabd08cdc19b
DOI: 10.20944/preprints202306.1360.v1

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