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

Habibalahi et al., 2021 - Google Patents

NMN treatment reverses unique deep radiomic signature morphology of oocytes from aged mice

Habibalahi et al., 2021

View PDF
Document ID
2741056932866548299
Author
Habibalahi A
Bertoldo M
Mahbub S
Campbell J
Goss D
Ledger W
Gilchrist R
Wu L
Goldys E
Publication year

External Links

Snippet

One of the earliest physiological consequences of advancing age is the loss of female reproductive potential. This is primarily due to oocyte quality and developmental competence, which is highly sensitive to biological age. We applied deep learning, swarm …
Continue reading at www.researchsquare.com (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
    • 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
    • G06K9/00127—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
    • 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
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • 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
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Khosravi et al. Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
JP7072067B2 (en) Systems and methods for estimating embryo viability
Raudonis et al. Towards the automation of early-stage human embryo development detection
ES2838698T3 (en) Imaging and evaluation of embryos, oocytes and stem cells
US20240185567A1 (en) System and method for outcome evaluations on human ivf-derived embryos
CN114206223A (en) Adaptive image processing method and system in assisted reproduction technology
Ghani et al. Dendritic spine classification using shape and appearance features based on two-photon microscopy
Leahy et al. Automated measurements of key morphological features of human embryos for IVF
Zhao et al. Application of convolutional neural network on early human embryo segmentation during in vitro fertilization
Khosravi et al. Robust automated assessment of human blastocyst quality using deep learning
Malmsten et al. Automated cell division classification in early mouse and human embryos using convolutional neural networks
US20230351587A1 (en) Methods and systems for predicting neurodegenerative disease state
Habibalahi et al. Unique deep radiomic signature Shows NMN treatment reverses morphology of oocytes from Aged Mice
US20210272282A1 (en) System and method for selecting artificially fertilized embryos
Payá et al. Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques
Fjeldstad et al. An artificial intelligence tool predicts blastocyst development from static images of fresh mature oocytes
Strouthopoulos et al. An automated blastomere identification method for the evaluation of day 2 embryos during IVF/ICSI treatments
Zabari et al. Delineating the heterogeneity of embryo preimplantation development using automated and accurate morphokinetic annotation
Habibalahi et al. NMN treatment reverses unique deep radiomic signature morphology of oocytes from aged mice
WO2023154851A1 (en) Integrated framework for human embryo ploidy prediction using artificial intelligence
Sharma et al. Deep learning methods to forecasting human embryo development in time-lapse videos
Lewandowska et al. Ensembling noisy segmentation masks of blurred sperm images
Borna et al. An artificial intelligence algorithm to select most viable embryos considering current process in IVF labs
Sergeev et al. Advanced KPI framework for IVF pregnancy prediction models in IVF protocols
US20240312560A1 (en) Systems and methods for non-invasive preimplantation embryo genetic screening