Casciaro et al., 2011 - Google Patents
Fully automatic segmentations of liver and hepatic tumors from 3-D computed tomography abdominal images: comparative evaluation of two automatic methodsCasciaro et al., 2011
- Document ID
- 9334808198796680825
- Author
- Casciaro S
- Franchini R
- Massoptier L
- Casciaro E
- Conversano F
- Malvasi A
- Lay-Ekuakille A
- Publication year
- Publication venue
- IEEE Sensors journal
External Links
Snippet
An adaptive initialization method was developed to produce fully automatic processing frameworks based on graph-cut and gradient flow active contour algorithms. This method was applied to abdominal Computed Tomography (CT) images for segmentation of liver …
- 210000004185 Liver 0 title abstract description 118
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
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- 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
- G06T7/0014—Biomedical image inspection using an image reference approach
-
- 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
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
-
- 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
- G06T2207/20156—Automatic seed setting
-
- 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
- G06T2207/20104—Interactive definition of region of interest [ROI]
-
- 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
- G06T2207/10116—X-ray 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
- 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
- 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
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0031—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
- G06T3/0037—Reshaping or unfolding a 3D tree structure onto a 2D plane
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Casciaro et al. | Fully automatic segmentations of liver and hepatic tumors from 3-D computed tomography abdominal images: comparative evaluation of two automatic methods | |
Woźniak et al. | Small lung nodules detection based on local variance analysis and probabilistic neural network | |
Massoptier et al. | A new fully automatic and robust algorithm for fast segmentation of liver tissue and tumors from CT scans | |
Mansoor et al. | A generic approach to pathological lung segmentation | |
Jeong et al. | Brain tumor segmentation using 3D Mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging | |
Mahapatra et al. | Automatic detection and segmentation of Crohn's disease tissues from abdominal MRI | |
EP2693951B1 (en) | Image analysis for specific objects | |
Shi et al. | Comparative analysis of pulmonary nodules segmentation using multiscale residual U-Net and fuzzy C-means clustering | |
Zhang et al. | Design of automatic lung nodule detection system based on multi-scene deep learning framework | |
Jung et al. | Deep learning for medical image analysis: Applications to computed tomography and magnetic resonance imaging | |
Li et al. | MultiR-net: a novel joint learning network for COVID-19 segmentation and classification | |
Song et al. | Kidney segmentation in CT sequences using SKFCM and improved GrowCut algorithm | |
Ananth et al. | Liver And Hepatic Tumors Segmentation in 3-D CT Images | |
Wu et al. | A deep learning fusion model with evidence-based confidence level analysis for differentiation of malignant and benign breast tumors using dynamic contrast enhanced MRI | |
Huynh et al. | Fully automated MR liver volumetry using watershed segmentation coupled with active contouring | |
Baidya Kayal et al. | Segmentation of osteosarcoma tumor using diffusion weighted MRI: a comparative study using nine segmentation algorithms | |
Bonanno et al. | Validation of a computer-aided diagnosis system for the automatic identification of carotid atherosclerosis | |
Alirr et al. | Survey on liver tumour resection planning system: steps, techniques, and parameters | |
Verma et al. | A survey on digital image processing techniques for tumor detection | |
Ananth et al. | Graph Cutting Tumor Images | |
Joshi et al. | Automatic liver tumour detection in abdominal ct images | |
Li et al. | Clinical study of diffusion-weighted imaging in the diagnosis of liver focal lesion | |
Mazzetti et al. | Computer-aided diagnosis of prostate cancer using multi-parametric MRI: comparison between PUN and Tofts models | |
Nag et al. | Computer-assisted delineation of cerebral infarct from diffusion-weighted MRI using Gaussian mixture model | |
Habes et al. | Automated prostate segmentation in whole-body MRI scans for epidemiological studies |