By the same authors

FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation

Research output: Chapter in Book/Report/Conference proceedingConference contribution



Publication details

Title of host publicationInternational Symposium on Biomedical Imaging (ISBI)
DatePublished - Apr 2019
Place of PublicationVenice
Original languageEnglish


We propose a novel technique to incorporate attention within convolutional neural networks using feature maps generated by a separate convolutional autoencoder. Our attention architecture is well suited for incorporation with deep convolutional networks. We evaluate our model on benchmark segmentation datasets in skin cancer segmentation and lung lesion segmentation. Results show highly competitive performance when compared with U-Net and it’s residual variant.

    Research areas

  • Semantic segmentation, attention in CNNs, medical imaging, U-Net, residual connections

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