Marie et al., 2018 - Google Patents
Segmentation of kidneys deformed by nephroblastoma using case-based reasoningMarie et al., 2018
View PDF- Document ID
- 18343851638617605563
- Author
- Marie F
- Corbat L
- Delavelle T
- Chaussy Y
- Henriet J
- Lapayre J
- Publication year
- Publication venue
- Case-Based Reasoning Research and Development: 26th International Conference, ICCBR 2018, Stockholm, Sweden, July 9-12, 2018, Proceedings 26
External Links
Snippet
Image segmentation is a hot topic in image processing research. Most of the time, segmentation is not fully automated, and a user is required to guide the process in order to obtain correct results. Yet, even with programs, it is a time-consuming process. In a medical …
- 230000011218 segmentation 0 title abstract description 60
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30048—Heart; Cardiac
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
- G06T2207/20101—Interactive definition of point of interest, landmark or seed
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K2209/05—Recognition of patterns in medical or anatomical images
- G06K2209/051—Recognition of patterns in medical or anatomical images of internal organs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhao et al. | Segmentation of blood vessels using rule-based and machine-learning-based methods: a review | |
Liu et al. | Anatomy-aided deep learning for medical image segmentation: a review | |
Hu et al. | Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions | |
Selver et al. | Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation | |
Marie et al. | Segmentation of deformed kidneys and nephroblastoma using case-based reasoning and convolutional neural network | |
Maiora et al. | Random forest active learning for AAA thrombus segmentation in computed tomography angiography images | |
Kotia et al. | Few shot learning for medical imaging | |
Meng et al. | Regression of instance boundary by aggregated CNN and GCN | |
Zhang et al. | Interactive medical image segmentation via a point-based interaction | |
Javaid et al. | Multi-organ segmentation of chest CT images in radiation oncology: comparison of standard and dilated UNet | |
Anter et al. | Deep federated machine learning-based optimization methods for liver tumor diagnosis: A review | |
Ogiela et al. | Natural user interfaces in medical image analysis | |
Li et al. | An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field | |
Léger et al. | Contour propagation in CT scans with convolutional neural networks | |
La Rosa | A deep learning approach to bone segmentation in CT scans | |
Marinov et al. | Deep interactive segmentation of medical images: A systematic review and taxonomy | |
Zhang et al. | Confidence-aware cascaded network for fetal brain segmentation on mr images | |
Marie et al. | Segmentation of kidneys deformed by nephroblastoma using case-based reasoning | |
Pietka et al. | Open architecture computer‐aided diagnosis system | |
Dickson et al. | An integrated 3D-sparse deep belief network with enriched seagull optimization algorithm for liver segmentation | |
Lu et al. | Extraction of GGO candidate regions on thoracic CT images using SuperVoxel-based graph cuts for healthcare systems | |
Abou Arkoub et al. | Survey on deep learning techniques for medical imaging application area | |
Jahangir et al. | Introduction to medical imaging informatics | |
Elgohary et al. | A CAD System for Lung Cancer Detection Using Chest X-ray: A Review | |
Marie et al. | A new adaptation phase for thresholds in a CBR system associated to a region growing algorithm to segment tumoral kidneys |