Sridevi et al., 2019 - Google Patents
Detection of Brain Tumor using Back Propagation Algorithm through MRISridevi et al., 2019
View PDF- Document ID
- 3231973657455902104
- Author
- Sridevi A
- Sabitha T
- Publication year
- Publication venue
- Indian Journal of Public Health Research & Development
External Links
Snippet
Radiology is a vast subject and requires more knowledge and understanding for exact diagnosis of tumor in medical science. In this work, a meningioma segment and detection approach is designed using MRI sequence images as input image for defining the tumor …
- 238000001514 detection method 0 title abstract description 20
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
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- 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
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- 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
- G06T2207/10024—Color image
-
- 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
- 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
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
- G06K9/00147—Matching; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20060257031A1 (en) | Automatic detection of red lesions in digital color fundus photographs | |
Wahba et al. | Combined empirical mode decomposition and texture features for skin lesion classification using quadratic support vector machine | |
Appalaraju et al. | Machine learning-based categorization of brain tumor using image processing | |
Agrawal et al. | A survey on automated microaneurysm detection in diabetic retinopathy retinal images | |
Rahman et al. | MRI brain tumor classification using deep convolutional neural network | |
KR20210050790A (en) | Apparatus and methods for classifying neurodegenerative diseases image of amyloid-positive based on deep-learning | |
Dharshini et al. | An Enhanced Brain Tumor Detection Scheme using a Hybrid Deep Learning Model | |
Devi et al. | Cancer Detection Using Image Processing and Machine Learning | |
Sridevi et al. | Detection of Brain Tumor using Back Propagation Algorithm through MRI | |
Razali et al. | Color-assisted Multi-input Convolutional Neural Network for Cancer Classification on Mammogram Images | |
Ali et al. | Mammograms Segmentation and extraction for breast cancer regions based on region growing | |
Naveen et al. | Deep learning technique to detect and classify brain tumor | |
Vijayalakshmi et al. | Kfcm algorithm for effective brain stroke detection through SVM classifier | |
Khan et al. | Early pigment spot segmentation and classification from iris cellular image analysis with explainable deep learning and multiclass support vector machine | |
Kushwaha et al. | Segmentation of breast cancer from mammogram images using fuzzy clustering approach | |
Basha et al. | Automated Glaucoma Detection and Classification via Deep Neural Networks and Feature Extraction | |
Zhang et al. | Automated segmentation of CT scans for normal pressure hydrocephalus | |
Audytra et al. | Application of dynamic segmentation in stroke detection software with ANN | |
Snehkunj et al. | A systematic approach for brain abnormality identification from biomedical images | |
Patel et al. | Automated Brain Tumor detection using multi-label images of MRI scans and CNNs | |
Jothilakshmi et al. | Brain tumor detection using DNN algorithm | |
Lakmi et al. | Identification of Brain Tumor and Extracting its’ Features through Processing of MRI | |
Sandhiya et al. | A Survey of Advanced Learning Techniques Used for Initial Detection of vital Human organs Disorders through Iris | |
Ahmed et al. | Hierarchical classification of liver tumor from CT images based on difference-of-features (DOF) | |
Kumar et al. | IoMT-Based Computational Approach for Semantic Segmentation of Brain Tumour MRI Images |