Jadhav, 2021 - Google Patents
Visualization Systems for Volume Exploration and Medical DiagnosisJadhav, 2021
View HTML- Document ID
- 12961106675800529488
- Author
- Jadhav S
- Publication year
External Links
Snippet
Advances in imaging devices have led to ubiquitous use of volume data for analysis in research and medical practice. Visualization of 3D semantic structures is a fundamental task when investigating volume data. Many general techniques have been developed for visual …
- 238000003745 diagnosis 0 title abstract description 59
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
-
- 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
- G06T2207/20112—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
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
-
- 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
-
- 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
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/41—Medical
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Haque et al. | Deep learning approaches to biomedical image segmentation | |
Cerrolaza et al. | Computational anatomy for multi-organ analysis in medical imaging: A review | |
Guo et al. | Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach | |
Huang et al. | MSFCN-multiple supervised fully convolutional networks for the osteosarcoma segmentation of CT images | |
JP2020525127A (en) | System, method, and computer-accessible medium for virtual pancreatography | |
CN109215033A (en) | The method and system of image segmentation | |
Baxter et al. | The semiotics of medical image segmentation | |
Guo et al. | Cardiac MRI segmentation with sparse annotations: ensembling deep learning uncertainty and shape priors | |
Rodríguez et al. | Computer aided detection and diagnosis in medical imaging: a review of clinical and educational applications | |
EP4208850A1 (en) | System and method for virtual pancreatography pipeline | |
Xia et al. | Recent advances of transformers in medical image analysis: a comprehensive review | |
Davamani et al. | Biomedical image segmentation by deep learning methods | |
Haq | An overview of deep learning in medical imaging | |
Jadhav et al. | 3D virtual pancreatography | |
Rastgarpour et al. | The status quo of artificial intelligence methods in automatic medical image segmentation | |
Jadhav | Visualization Systems for Volume Exploration and Medical Diagnosis | |
Rajaraman et al. | Improved TB classification using bone-suppressed chest radiographs | |
Kumar et al. | Deep learning routes to thyroid ultrasound image segmentation: A review | |
CN112529834B (en) | Spatial distribution of pathology image patterns in 3D image data | |
Ghosh et al. | Machine learning in medical imaging: A comprehensive study | |
Alzahrani | Convolutional Neural Networks for Breast Ultrasound Image Segmentation | |
Jadhav et al. | Volume Exploration Using Multidimensional Bhattacharyya Flow | |
Lai et al. | A review of medical ocular image segmentation | |
van der Heijden et al. | GENERATION OF LUNG CT IMAGES USING SEMANTIC LAYOUTS | |
Khosravan | Collaborative artificial intelligence algorithms for medical imaging applications |