Feedback
Settings

Settings

Goto Application

1. WO2022160070 - MACHINE LEARNING ENABLED SYSTEM FOR SKIN ABNORMALITY INTERVENTIONS

Submit observation
PermaLink
Publication Number WO/2022/160070
Publication Date 04.08.2022
International Application No. PCT/CA2022/050145
International Filing Date 01.02.2022
IPC
G16H 30/40 2018.1
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
40for processing medical images, e.g. editing
A61B 5/00 2006.1
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
G06N 3/04 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architecture, e.g. interconnection topology
G06V 10/764 2022.1
A61B 90/00 2016.1
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
90Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups A61B1/-A61B50/171
CPC
A61B 5/441
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
44Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
441Skin evaluation, e.g. for skin disorder diagnosis
A61B 5/7267
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
72Signal processing specially adapted for physiological signals or for diagnostic purposes
7235Details of waveform analysis
7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
7267involving training the classification device
G06N 3/045
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06V 10/82
G06V 40/10
Applicants
  • SKINOPATHY INC. [CA]/[CA]
Inventors
  • HONG, Colin
  • JOSHI, Rakesh
Priority Data
63/144,14201.02.2021US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) MACHINE LEARNING ENABLED SYSTEM FOR SKIN ABNORMALITY INTERVENTIONS
(FR) SYSTÈME APTE À L'APPRENTISSAGE AUTOMATIQUE POUR INTERVENTIONS SUR ANOMALIES DE PEAU
front page image
Abstract
(EN) Systems and methods for use in classifying and measuring images of skin abnormalities. The systems and methods can be used in an AR enabled system that may be used to assist in skin surgeries and skin abnormality triaging and diagnosis. The system uses a convolutional neural network to classify a skin abnormality in an initial image. The CNN may also be used in determining the boundaries of the skin abnormality. A fiducial marker may be present in the initial image and this marker may be used in automatically measuring the size of the skin abnormality. An adjusted image is generated based on the measured abnormality and this adjusted image can be used as an overlay in an AR enabled system for use in assisting surgical procedures.
(FR) L'invention concerne des systèmes et des procédés destinés à être utilisés dans la classification et la mesure d'images d'anomalies de peau. Les systèmes et procédés peuvent être utilisés dans un système apte à l'AR qui peut être utilisé pour aider à la chirurgie de la peau et au triage et diagnostic d'anomalies de peau. Le système utilise un réseau neuronal convolutif pour classifier une anomalie de peau dans une image initiale. Le CNN peut également être utilisé dans la détermination des limites de l'anomalie de peau. Un marqueur de repérage peut être présent dans l'image initiale et ce marqueur peut être utilisé pour mesurer automatiquement la taille de l'anomalie de peau. Une image ajustée est générée d'après l'anomalie mesurée et cette image ajustée peut être utilisée comme calque dans un système apte à l'AR en vue d'une utilisation dans l'aide aux procédures chirurgicales.
Latest bibliographic data on file with the International Bureau
# -