mlsanityData to 7 Oct 2026

Deeply-Supervised CNN for Prostate Segmentation

arXiv 1703.07523 ↗First posted 22 Mar 2017cs.CVcited by 30

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Abstract (arXiv)

Prostate segmentation from Magnetic Resonance (MR) images plays an important role in image guided interven- tion. However, the lack of clear boundary specifically at the apex and base, and huge variation of shape and texture between the images from different patients make the task very challenging. To overcome these problems, in this paper, we propose a deeply supervised convolutional neural network (CNN) utilizing the convolutional information to accurately segment the prostate from MR images. The proposed model can effectively detect the prostate region with additional deeply supervised layers compared with other approaches. Since some information will be abandoned after convolution, it is necessary to pass the features extracted from early stages to later stages. The experimental results show that significant segmentation accuracy improvement has been achieved by our proposed method compared to other reported approaches.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Mar 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 8; 2023: 9; 2024: 4; 2025: 1; 2026: 2.

30 papers.

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  1. 2021UNETR: Transformers for 3D Medical Image Segmentationcited by 954
  2. 2022UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentationcited by 112
  3. 2021Optimized U-Net for Brain Tumor Segmentationcited by 40
  4. 2024SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentationcited by 31
  5. 2023Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentationcited by 10
  6. 2022DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videoscited by 7
  7. 2023Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentationcited by 7
  8. 2022A Transformer-based Generative Adversarial Network for Brain Tumor Segmentationcited by 4
  9. 2022Voxels Intersecting along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CTcited by 4
  10. 2023Radio astronomical images object detection and segmentation: A benchmark on deep learning methodscited by 4
  11. 2023Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Frameworkcited by 3
  12. 2024TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIscited by 3
18 more
  1. 2023ADS_UNet: A Nested UNet for Histopathology Image Segmentationcited by 2
  2. 2025Graph Your Own Promptcited by 2
  3. 2021Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)cited by 1
  4. 2022Memory-efficient Segmentation of High-resolution Volumetric MicroCT Imagescited by 1
  5. 2024Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentationcited by 1
  6. 2026LightMedSeg: Lightweight 3D Medical Image Segmentation with Learned Spatial Anchorscited by 1
  7. 2021Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentationcited by 0
  8. 2021DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videoscited by 0
  9. 2021A Review on The Division of Magnetic Resonant Prostate Images with Deep Learningcited by 0
  10. 2022ClamNet: Using contrastive learning with variable depth Unets for medical image segmentationcited by 0
  11. 2022Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architecturescited by 0
  12. 2022Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentationcited by 0
  13. 2023Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancercited by 0
  14. 2023Learnable Weight Initialization for Volumetric Medical Image Segmentationcited by 0
  15. 2023Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scorescited by 0
  16. 2023FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentationcited by 0
  17. 2024Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scanscited by 0
  18. 2026RefineFormer3D: Efficient 3D Medical Image Segmentation via Adaptive Multi-Scale Transformer with Cross Attention Fusioncited by 0