mlsanityData to 7 Oct 2026

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

arXiv 1902.03091 ↗First posted 8 Feb 2019cs.CVcited by 24

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Abstract (arXiv)

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.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Feb 2019.

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Citing papers per year: 2021: 6; 2022: 6; 2023: 4; 2024: 3; 2025: 4; 2026: 1.

24 papers.

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  1. 2021MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentationcited by 53
  2. 2022DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentationcited by 37
  3. 2022The Fully Convolutional Transformer for Medical Image Segmentationcited by 31
  4. 2022A Survey on Deep Learning for Skin Lesion Segmentationcited by 22
  5. 2021Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusioncited by 17
  6. 2022MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentationcited by 14
  7. 2022Optimizing Vision Transformers for Medical Image Segmentationcited by 12
  8. 2023Attention Mechanisms in Medical Image Segmentation: A Surveycited by 9
  9. 2021CpT: Convolutional Point Transformer for 3D Point Cloud Processingcited by 8
  10. 2023Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecturecited by 8
  11. 2023SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysiscited by 7
  12. 2024PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentationcited by 6
12 more
  1. 2024MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for Segmentation of Polyps in Colonoscopycited by 5
  2. 2024FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classificationcited by 3
  3. 2022U-Net-based Models for Skin Lesion Segmentation: More Attention and Augmentationcited by 1
  4. 2023LCAUnet: A skin lesion segmentation network with enhanced edge and body fusioncited by 1
  5. 2021Object Based Attention Through Internal Gatingcited by 0
  6. 2021PL-Net: Progressive Learning Network for Medical Image Segmentationcited by 0
  7. 2021PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentationcited by 0
  8. 2025Deeply Dual Supervised learning for melanoma recognitioncited by 0
  9. 2025Edge Detection for Organ Boundaries via Top Down Refinement and SubPixel Upsamplingcited by 0
  10. 2025DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentationcited by 0
  11. 2025VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagationcited by 0
  12. 2026ConvNeXt-FD: A Fractal-Based Deep Model for Robust Biomedical Image Segmentationcited by 0