Feedback Chain Network For Hippocampus Segmentation
Not on the map. Why?
Abstract (arXiv)
The hippocampus plays a vital role in the diagnosis and treatment of many neurological disorders. Recent years, deep learning technology has made great progress in the field of medical image segmentation, and the performance of related tasks has been constantly refreshed. In this paper, we focus on the hippocampus segmentation task and propose a novel hierarchical feedback chain network. The feedback chain structure unit learns deeper and wider feature representation of each encoder layer through the hierarchical feature aggregation feedback chains, and achieves feature selection and feedback through the feature handover attention module. Then, we embed a global pyramid attention unit between the feature encoder and the decoder to further modify the encoder features, including the pair-wise pyramid attention module for achieving adjacent attention interaction and the global context modeling module for capturing the long-range knowledge. The proposed approach achieves state-of-the-art performance on three publicly available datasets, compared with existing hippocampus segmentation approaches.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 35 of its 75 references that are in the map. First posted on arXiv 15 Nov 2022.
Builds on
35 of 75 references.
References · 35
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
- 2016Densely Connected Convolutional Networkscited by 6,720
- 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,859
- 2017Squeeze-and-Excitation Networkscited by 4,789
- 2016DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFscited by 3,241
- 2016Pyramid Scene Parsing Networkcited by 2,479
- 2018CBAM: Convolutional Block Attention Modulecited by 2,477
- 2017Rethinking Atrous Convolution for Semantic Image Segmentationcited by 2,161
- 2018UNet++: A Nested U-Net Architecture for Medical Image Segmentationcited by 1,525
- 2018Attention U-Net: Learning Where to Look for the Pancreascited by 1,435
- 2017A Survey on Deep Learning in Medical Image Analysiscited by 1,186
- 2018Dual Attention Network for Scene Segmentationcited by 1,003
23 more
- 2019Panoptic Feature Pyramid Networkscited by 645
- 2018nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentationcited by 291
- 2017ICNet for Real-Time Semantic Segmentation on High-Resolution Imagescited by 261
- 2019Asymmetric Non-local Neural Networks for Semantic Segmentationcited by 196
- 2019MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentationcited by 195
- 2020Global Context-Aware Progressive Aggregation Network for Salient Object Detectioncited by 109
- 2020Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Imagescited by 61
- 2021Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baselinecited by 61
- 2019Nested Network with Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Imagescited by 51
- 2022CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detectioncited by 38
- 2022Does Thermal Really Always Matter for RGB-T Salient Object Detection?cited by 37
- 2021Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detectioncited by 34
- 2021RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Imagescited by 34
- 2021BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimationcited by 31
- 2020CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detectioncited by 30
- 2022Global-and-Local Collaborative Learning for Co-Salient Object Detectioncited by 24
- 2022A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labelscited by 20
- 2022BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Imagescited by 16
- 2022PSNet: Parallel Symmetric Network for Video Salient Object Detectioncited by 12
- 2022Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation Systemcited by 11
- 2021Learning With Context Feedback Loop for Robust Medical Image Segmentationcited by 6
- 2019Dilated deeply supervised networks for hippocampus segmentation in MRIcited by 5
- 2020NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removalcited by 4
Built on by
Citing papers per year: 2026: 1.
1 paper.