Isaieva et al., 2021 - Google Patents
Properties of Telemedicine while Using Ultraviolet DermatoscopyIsaieva 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 …
- 210000003491 Skin 0 abstract description 45
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
-
- 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
- A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
- A61B5/444—Evaluating skin marks, e.g. mole, nevi, tumour, scar
-
- 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
- A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
- A61B5/445—Evaluating skin irritation or skin trauma, e.g. rash, eczema, wound, bed sore
-
- 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
-
- 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
- A61B5/0059—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0084—Detecting, 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
-
- 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
-
- 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
- A61B5/0059—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0062—Arrangements for scanning
-
- 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
- A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
- A61B5/446—Scalp evaluation or scalp disorder diagnosis, e.g. dandruff
-
- 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
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 |