[go: up one dir, main page]

Husemann et al., 1997 - Google Patents

Computerised diagnosis of skin cancer using neural networks

Husemann et al., 1997

Document ID
16550909474472498188
Author
Husemann R
Tölg S
Seelen W
Altmeyer P
Frosch P
Stücker M
Hoffmann K
El-Gammal S
Publication year
Publication venue
Skin cancer and UV radiation

External Links

Snippet

Skin cancer has reached the highest rate of increase among all types of cancer. On the other hand, even the malignant melanoma can be cured. The key is early detection and the key to early detection is regular screening. There exists a clear demand to improve both, the …
Continue reading at link.springer.com (other versions)

Classifications

    • 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
    • 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
    • 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
    • G06K9/36—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
    • 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
    • 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
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • 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
    • 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
    • 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
    • A61B5/117—Identification of persons
    • 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
Sánchez et al. Retinal image analysis based on mixture models to detect hard exudates
Zhang et al. Detection of microaneurysms using multi-scale correlation coefficients
Maglogiannis et al. An integrated computer supported acquisition, handling, and characterization system for pigmented skin lesions in dermatological images
Deepak et al. Automatic assessment of macular edema from color retinal images
Agurto et al. A multiscale optimization approach to detect exudates in the macula
US7260248B2 (en) Image processing using measures of similarity
Siddalingaswamy et al. Automatic localization and boundary detection of optic disc using implicit active contours
Rashid Computerized exudate detection in fundus images using statistical feature based fuzzy c-mean clustering
Kavitha et al. Hierarchical classifier for soft and hard exudates detection of retinal fundus images
WO2023272395A1 (en) Classification and improvement of quality of vascular images
US20130222767A1 (en) Methods and systems for detecting peripapillary atrophy
Grochowski et al. Diagnosis of malignant melanoma by neural network ensemble-based system utilising hand-crafted skin lesion features
Brancati et al. Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa
Husemann et al. Computerised diagnosis of skin cancer using neural networks
Lee et al. Counting moles automatically from back images
Acha et al. CAD tool for burn diagnosis
Yudhana et al. Glucose content analysis using image processing and machine learning techniques
EP4398188A1 (en) Vessel recognition using weighted gabor technique
Honale et al. A review of methods for blood vessel segmentation in retinal images
Maglogiannis et al. Utilizing artificial intelligence for the characterization of dermatological images
Alharthi et al. An automated mechanism for early screening and diagnosis of diabetic retinopathy in human retinal images
Lynn et al. Segmentation of skin lesion towards melanoma skin cancer classification
Francese et al. An augmented reality mobile application for skin lesion data visualization
Mei et al. Optic disc segmentation method based on low rank matrix recovery theory
Heyi et al. Development of a retinal image segmentation algorithm for the identifying prevalence markers of diabetic retinopathy using a neural network