Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound
Authors
Keywords
Catheter segmentation, Frustum ultrasound, Weakly supervised learning, CAM-guided pseudo annotation
Journal
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
Volume 96, Issue -, Pages 102037
Publisher
Elsevier BV
Online
2022-01-29
DOI
10.1016/j.compmedimag.2022.102037
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Two-Stage Mask-RCNN Approach for Detecting and Segmenting the Optic Nerve Head, Optic Disc, and Optic Cup in Fundus Images
- (2020) Haidar Almubarak et al. Applied Sciences-Basel
- Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations
- (2020) Shuai Wang et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Automatic needle detection and real-time Bi-planar needle visualization during 3D ultrasound scanning of the liver
- (2019) Muhammad Arif et al. MEDICAL IMAGE ANALYSIS
- Constrained-CNN losses for weakly supervised segmentation
- (2019) Hoel Kervadec et al. MEDICAL IMAGE ANALYSIS
- Catheter localization in 3D ultrasound using voxel-of-interest-based ConvNets for cardiac intervention
- (2019) Hongxu Yang et al. International Journal of Computer Assisted Radiology and Surgery
- Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results
- (2019) Ruud J. G. van Sloun et al. IEEE Journal of Biomedical and Health Informatics
- Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks
- (2018) Arash Pourtaherian et al. International Journal of Computer Assisted Radiology and Surgery
- Medical Instrument Detection in 3-Dimensional Ultrasound Data Volumes
- (2017) Arash Pourtaherian et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Constrained Deep Weak Supervision for Histopathology Image Segmentation
- (2017) Zhipeng Jia et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
- (2017) Martin Rajchl et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
- (2017) Konstantinos Kamnitsas et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
- (2015) Abdel Aziz Taha et al. BMC MEDICAL IMAGING
- Line filtering for surgical tool localization in 3D ultrasound images
- (2013) Marián Uherčík et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automatic Needle Detection and Tracking in 3D Ultrasound Using an ROI-Based RANSAC and Kalman Method
- (2013) Yue Zhao et al. ULTRASONIC IMAGING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More