Nothing Special   »   [go: up one dir, main page]

PATEL et al., 2023 - Google Patents

Deep Learning Assisted Retinopathy of Prematurity (ROP) Screening

PATEL et al., 2023

View PDF
Document ID
10497952184428589014
Author
PATEL H
PAUL K
AZAD S
Publication year

External Links

Snippet

Authors' addresses: Vijay Kumar, vijay. kumar@ cse. iitd. ac. in, Amar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, Delhi, India, 110016; Het Patel, Department of Computer Science and Engineering, Indian Institute of …
Continue reading at www.academia.edu (PDF) (other versions)

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
    • 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
    • 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
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20224—Image subtraction
    • 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
    • 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
    • G06K9/00597—Acquiring or recognising eyes, e.g. iris verification
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • 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
    • 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
    • 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

Similar Documents

Publication Publication Date Title
Veena et al. A novel optic disc and optic cup segmentation technique to diagnose glaucoma using deep learning convolutional neural network over retinal fundus images
Juneja et al. Automated detection of Glaucoma using deep learning convolution network (G-net)
Imran et al. Comparative analysis of vessel segmentation techniques in retinal images
Niemeijer et al. Information fusion for diabetic retinopathy CAD in digital color fundus photographs
Joshi et al. Glaucoma detection using image processing and supervised learning for classification
EP4057215A1 (en) Systems and methods for automated analysis of retinal images
Khandouzi et al. Retinal vessel segmentation, a review of classic and deep methods
Akil et al. Detection of retinal abnormalities in fundus image using CNN deep learning networks
Kumar et al. Deep learning-assisted retinopathy of prematurity (ROP) screening
Ramachandran et al. A deep learning framework for the detection of Plus disease in retinal fundus images of preterm infants
Ribeiro et al. Handling inter-annotator agreement for automated skin lesion segmentation
Phridviraj et al. A bi-directional Long Short-Term Memory-based Diabetic Retinopathy detection model using retinal fundus images
Nergiz et al. Automated fuzzy optic disc detection algorithm using branching of vessels and color properties in fundus images
Al-Mukhtar et al. Weakly Supervised Sensitive Heatmap framework to classify and localize diabetic retinopathy lesions
Giancardo Automated fundus images analysis techniques to screen retinal diseases in diabetic patients
Jabbar et al. Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Ashtari-Majlan et al. Deep learning and computer vision for glaucoma detection: A review
PATEL et al. Deep Learning Assisted Retinopathy of Prematurity (ROP) Screening
Yakut et al. A hybrid fusion method combining spatial image filtering with parallel channel network for retinal vessel segmentation
Kumar et al. DL-assisted ROP screening technique
Govindaraj et al. Eminent identification and classification of Diabetic Retinopathy in clinical fundus images using Probabilistic Neural Network
Archana et al. Short Analysis of Machine Learning and Deep Learning Techniques used for Glaucoma Detection
Abbas et al. A Semantic Adversarial Network for Detection and Classification of Myopic Maculopathy
Kumar et al. Improved Blood Vessels Segmentation of Infant Retinal Image
Kilgannon A Machine Learning System for Glaucoma Detection using Inexpensive Machine Learning