mlsanityData to 7 Oct 2026

3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection

arXiv 1806.09648 ↗First posted 25 Jun 2018cs.CVcited by 24

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Abstract (arXiv)

Detecting lesions from computed tomography (CT) scans is an important but difficult problem because non-lesions and true lesions can appear similar. 3D context is known to be helpful in this differentiation task. However, existing end-to-end detection frameworks of convolutional neural networks (CNNs) are mostly designed for 2D images. In this paper, we propose 3D context enhanced region-based CNN (3DCE) to incorporate 3D context information efficiently by aggregating feature maps of 2D images. 3DCE is easy to train and end-to-end in training and inference. A universal lesion detector is developed to detect all kinds of lesions in one algorithm using the DeepLesion dataset. Experimental results on this challenging task prove the effectiveness of 3DCE. We have released the code of 3DCE in https://github.com/rsummers11/CADLab/tree/master/lesion_detector_3DCE.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Jun 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 5; 2023: 5; 2024: 1; 2025: 4; 2026: 2.

24 papers.

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  1. 2021Recent advances and clinical applications of deep learning in medical image analysiscited by 104
  2. 2022SATr: Slice Attention with Transformer for Universal Lesion Detectioncited by 17
  3. 2021Asymmetric 3D Context Fusion for Universal Lesion Detectioncited by 14
  4. 2021Universal Lesion Detection in CT Scans using Neural Network Ensemblescited by 8
  5. 2021Conditional Training with Bounding Map for Universal Lesion Detectioncited by 5
  6. 2021RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotationcited by 4
  7. 2022Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-trainingcited by 3
  8. 2022Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurementscited by 3
  9. 2024Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformercited by 3
  10. 2021Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Datacited by 1
  11. 2021Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT imagescited by 1
  12. 2022DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detectioncited by 1
12 more
  1. 2023An End-to-End Framework For Universal Lesion Detection With Missing Annotationscited by 1
  2. 2023Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Trainingcited by 1
  3. 2022An Efficient Anchor-free Universal Lesion Detection in CT-scanscited by 0
  4. 2023Integrating features from lymph node stations for metastatic lymph node detectioncited by 0
  5. 2023Mixed-order self-paced curriculum learning for universal lesion detectioncited by 0
  6. 2023FSD: Fully-Specialized Detector via Neural Architecture Searchcited by 0
  7. 20253D Universal Lesion Detection and Tagging in CT with Self-Trainingcited by 0
  8. 2025Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Taggingcited by 0
  9. 2025MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality imagescited by 0
  10. 2025PDSE: A Multiple Lesion Detector for CT Images using PANet and Deformable Squeeze-and-Excitation Blockcited by 0
  11. 2026BifDet: A 3D Bifurcation Detection Dataset for Airway-Tree Modelingcited by 0
  12. 2026Lesion Detection in CT with Frozen Self-Distilled Features: SALT, a Spatially Adaptive Label-Guided Temperaturecited by 0