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

Isaieva et al., 2021 - Google Patents

Properties of Telemedicine while Using Ultraviolet Dermatoscopy

Isaieva et al., 2021

View PDF
Document ID
4070726764609933657
Author
Isaieva O
Avrunin O
Publication year
Publication venue
2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T)

External Links

Snippet

The paper presents the main method for examining the skin-ultraviolet dermatoscopy (UV- dermoscopy). The main modules and components of the system for skin research are considered. Skin types are discussed, as well as how a skin disease or skin type can be …
Continue reading at easychair.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/44Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441Skin evaluation, e.g. for skin disorder diagnosis
    • A61B5/444Evaluating skin marks, e.g. mole, nevi, tumour, scar
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/44Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441Skin evaluation, e.g. for skin disorder diagnosis
    • A61B5/445Evaluating skin irritation or skin trauma, e.g. rash, eczema, wound, bed sore
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0059Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0082Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
    • A61B5/0084Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0059Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0062Arrangements for scanning
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/44Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441Skin evaluation, e.g. for skin disorder diagnosis
    • A61B5/446Scalp evaluation or scalp disorder diagnosis, e.g. dandruff
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts

Similar Documents

Publication Publication Date Title
Li et al. Biopsy-free in vivo virtual histology of skin using deep learning
Javed et al. A comparative study of features selection for skin lesion detection from dermoscopic images
AU2014234022B2 (en) Measurement of tissue structures
Waddell et al. Advances in the use of reflectance confocal microscopy in melanoma
RU2657377C2 (en) Intellectual head for smartphone for determination of cleanliness, moisture and photo-age of skin
Aloupogianni et al. Hyperspectral and multispectral image processing for gross-level tumor detection in skin lesions: a systematic review
Fuduli et al. Melanoma detection using color and texture features in computer vision systems
Vocaturo et al. Features for melanoma lesions characterization in computer vision systems
Lee et al. Automatic cell segmentation and nuclear-to-cytoplasmic ratio analysis for third harmonic generated microscopy medical images
Lucas et al. Toward automated in vivo bladder tumor stratification using confocal laser endomicroscopy
Wang et al. A novel low rank smooth flat-field correction algorithm for hyperspectral microscopy imaging
Zhao et al. Deep Learning‐Based Denoising in High‐Speed Portable Reflectance Confocal Microscopy
Meinhardt-Wollweber et al. A non-contact remote digital dermoscope to support cancer screening and diagnosis of inflammatory skin disease
CN103747719A (en) Apparatus and method for identifying one or more amyloid plaques in a plurality of discrete OCT retinal layers
Jain et al. High‐resolution full‐field optical coherence tomography microscope for the evaluation of freshly excised skin specimens during Mohs surgery: A feasibility study
Isaieva et al. Properties of Telemedicine while Using Ultraviolet Dermatoscopy
Yan et al. Portable LED-induced autofluorescence spectroscopy for oral cancer diagnosis
Wu et al. Quantitative Assessment of Age-Dependent Changes in Porphyrins from Fluorescence Images of Ultraviolet Photography by Image Processing
Liu et al. Signal to noise ratio quantifies the contribution of spectral channels to classification of human head and neck tissues ex vivo using deep learning and multispectral imaging
Pal et al. Multimodal widefield fluorescence imaging with nonlinear optical microscopy workflow for noninvasive oral epithelial neoplasia detection: a preclinical study
Ramli et al. Identification of acne lesions, scars and normal skin for acne vulgaris cases
US20240290473A1 (en) Biopsy-free in vivo virtual histology of tissue using deep learning
Fleming Digital dermoscopy
Vasanthakumari et al. Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning
Aloupogianni et al. Effects of dimension reduction of hyperspectral images in skin gross pathology