[go: up one dir, main page]

Bano et al., 2020 - Google Patents

Deep placental vessel segmentation for fetoscopic mosaicking

Bano et al., 2020

View PDF
Document ID
175391646496051623
Author
Bano S
Vasconcelos F
Shepherd L
Vander Poorten E
Vercauteren T
Ourselin S
David A
Deprest J
Stoyanov D
Publication year
Publication venue
International Conference on Medical Image Computing and Computer-Assisted Intervention

External Links

Snippet

During fetoscopic laser photocoagulation, a treatment for twin-to-twin transfusion syndrome (TTTS), the clinician first identifies abnormal placental vascular connections and laser ablates them to regulate blood flow in both fetuses. The procedure is challenging due to the …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • G06T2207/20224Image subtraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20Image acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Bano et al. Deep placental vessel segmentation for fetoscopic mosaicking
Arnold et al. Automatic segmentation and inpainting of specular highlights for endoscopic imaging
Andrade-Miranda et al. Laryngeal image processing of vocal folds motion
US20090324031A1 (en) Image registration method for medical image sequences
Lee et al. Robust tumor localization with pyramid grad-cam
Kose et al. Automated video-mosaicking approach for confocal microscopic imaging in vivo: an approach to address challenges in imaging living tissue and extend field of view
Sadda et al. Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery
JP2016062488A (en) Endoscope business support system
Bano et al. FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos
Gong et al. Using deep learning to identify the recurrent laryngeal nerve during thyroidectomy
Li et al. Robust endoscopic image mosaicking via fusion of multimodal estimation
Prokopetc et al. Automatic detection of the uterus and fallopian tube junctions in laparoscopic images
Bano et al. Image mosaicking
Kim et al. Deep-learning-based cerebral artery semantic segmentation in neurosurgical operating microscope vision using indocyanine green fluorescence videoangiography
Casella et al. Learning-based keypoint registration for fetoscopic mosaicking
Kim et al. Density clustering-based automatic anatomical section recognition in colonoscopy video using deep learning
Yang et al. Towards scene adaptive image correspondence for placental vasculature mosaic in computer assisted fetoscopic procedures
Zeng et al. Pretrained subtraction and segmentation model for coronary angiograms
Bano et al. Placental vessel-guided hybrid framework for fetoscopic mosaicking
Casella et al. Toward a navigation framework for fetoscopy
Atasoy et al. Probabilistic region matching in narrow-band endoscopy for targeted optical biopsy
Sánchez et al. Navigation path retrieval from videobronchoscopy using bronchial branches
Wang et al. Unsupervised and quantitative intestinal ischemia detection using conditional adversarial network in multimodal optical imaging
Amber et al. Feature point based polyp tracking in endoscopic videos
Jiang et al. Automated Quantitative Analysis of Blood Flow in Extracranial–Intracranial Arterial Bypass Based on Indocyanine Green Angiography