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❯Chromosome segmentation and deep classification
Large Companies
Computer Vision - Gesture Recognition
For:
Certification examiners.
Scope:
How Gesture Recognition authentication uncovered mortgage licensing fraud.
Goal:
Anticipate Risks
General Public
Education - Accessibility
For:
Deaf and hard of hearing (DHH), and non-native speaking academic students.
Scope:
Captioning lecturer's speech to improve the learning experience of Deaf and Hard of Hearing students.
Goal:
Improved Customer Experience, Improved Operation
Chromosome segmentation and deep classification
For:
Hospitals, doctors, cytogeneticists, patients
Scope:
Karyotyping of chromosomes is restricted to healthy patients.
Goal:
Improved Product Development / R&D
Government
Defense & Military - Intelligence & Surveillance
For:
Soldiers
Scope:
Reducing the requirement for manual monitoring in insurgency-hit areas with Smart Surveillance.
Goal:
Anticipate Risks
Dialogue-based social care services for people with mental illness, dementia and the elderly living alone
For:
Government or public institutions
Scope:
Daily life support AI services that provide an interaction with humans using natural language
Goal:
Improved Customer Experience
Instant triaging of wounds
For:
Wound nurses, diabetes patients, hospitals
Scope:
Build an AI solution to augment triaging decisions by wound nurses.
Goal:
Improved Employee Efficiency
Large Companies
Small Companies
Entertainment and Media - Metadata Tagging
For:
Digital asset managers.
Scope:
Realizing the value of historical sporting digital media assets by using Artificial Intelligence (AI) to assist in doing the work of 15 interns.
Goal:
Improved Product Development / R&D, Improve Operation Efficiency
Intelligent Video Traffic Monitoring
For:
Traffic Management Officials
Education - Automated Content Generators
For:
Online course creators.
Scope:
Intelligently generate, curate, and recommend content educational content.
Goal:
Improved Customer Experience
Large Companies
Small Companies
Entertainment and Media - Subtitle Creation
For:
Content creators
Scope:
Creating efficiencies for content creators via automatic subtitle creation for social video.
Goal:
Improved Employee Efficiency
Autonomous apron truck
For:
Transporter
Scope:
Automated transportation of luggage (carts) to requested destinations on an airport apron while following local traffic rules and resolving unplanned
conflicts.
Goal:
Improve Operation Efficiency
Robotic prehension of objects
For:
Customers, 3 rd parties, end users, community
Scope:
Outputting the end effector velocity and rotation vector in response to the view
from a red green blue depth (RGB-D) camera located on a robot's wrist.
Goal:
Improve Operation Efficiency
AI decryption of magnetograms
For:
Manufacturer
Scope:
Oil and gas transportation. AI solution to quickly identify defects during the
quality assurance process on a field pipeline.
Goal:
Improve Operation Efficiency
Government
Defense & Military - Autonomous Vehicle
For:
Military Operatives.
Scope:
Using computer vision to implement perimeter safety for Autonomous Vehicles.
Goal:
Improved Product Development / R&D
Improvement of productivity of semiconductor manufacturing
For:
Executives of semiconductor manufacturing companies
Scope:
Analysis of data taken from production equipment and improvement of productivity based on the analysis.
Goal:
Other
Automated defect classification on product surfaces
For:
Sanitary industries
Scope:
Image analytics for water taps in sanitary industries.
Goal:
Other
Pre-screening of cavity and oral diseases based on 2D digital images
For:
Dentist
Public
Scope:
Artificial intelligence-based oral examination platform.
Goal:
Other
Intelligent technology to control manual operations via video Norma
For:
Industrial enterprises, repair enterprises, repair shops, operators of engineering
products.
Scope:
Tooltip visualization technology (augmented reality) based on technological
process and manual operations control in the assembly, maintenance, and repair
of engineering products.
Goal:
Other
Automatic classification tool for full size core
For:
Manufacturer, geologist
Scope:
Oil and Gas exploration, classification of rock types, oil saturation, carbonate and
fracture according to core images
Goal:
Other
Real-time patient support and medical information service applying spoken dialogue system
For:
Dentist
Hospital
Scope:
Medical business support system using artificial intelligence-based human-
computer interface technology.
Goal:
Other
AI situation explanation service for people with visual impairments
For:
Personal services
Scope:
A real-time situation explanation service through voice for people with visual impairments
Goal:
Improved Customer Experience
General Public
Education - Smart Learning Content
For:
Online course creators and online learners.
Scope:
Empowering course creators to focus on complex decision-making and creativity with Computer Vision and Natural Language Processing.
Goal:
Improved Employee Efficiency
Autonomous trains (Unattended train operation (UTO))
Scope:
Freight and passenger trains operate autonomously, excluding any crew
presence on board, but with remote operator attention involved.
Goal:
Improve Operation Efficiency
AI sign language interpretation system for people with hearing impairment
For:
Government or public institutions
Scope:
Increase the convenience of public services to people with hearing impairment
by providing a service to translate sign language image information into natural
language
Goal:
Improved Customer Experience
Precision Farming as a Service
For:
Farmers
Scope:
Use visual recognition to identify and help fight parasites attacking organic farms.
Goal:
Anticipate Risks, Improve Operation Efficiency
General Public
Computer Vision - Object & Activity recognition
For:
Commuters
Scope:
Using computer vision to enable Smart Parking solutions for realtime parking availability.
Goal:
Improved Customer Experience
Facilitating language learning of deaf people
Scope:
Use of advanced and multimodal sensing ability to facilitate a complex task.
Goal:
Improved Customer Experience
Computer-aided diagnosis in medical imaging based on machine learning
Scope:
Detecting image anomalies.
Goal:
Improve Operation Efficiency
Social humanoid technology capable of multi-modal context recognition and expression
For:
Dialogue service services using display devices
Service robot
Scope:
Human-AI sympathetic technology expressing dynamic immersive dialogue with
humans through a combination of various artificial intelligence technologies
Goal:
Other
Autonomous Robot Improves Surgical Precision Using AI
For:
Hospitals using Autonomous robotic surgery via the STAR system
Goal:
Improve Operation Efficiency
Chromosome segmentation and deep classification
For:
Hospitals, doctors, cytogeneticists, patientsGoal:
Improved Product Development / R&DProblem addressed
Automating karyotyping of chromosomes in cell spread images.
Segmentation of chromosomes in images by a non-expert crowd.
Scope of use case
Karyotyping of chromosomes is restricted to healthy patients.
Description
Metaphase chromosome analysis is one of the primary
techniques utilized in cytogenetics. Observations of
chromosomal segments or translocations during metaphase
can indicate structural changes in the cell genome, and are
often used for diagnostic purposes. Karyotyping of the
chromosomes micro-photographed under metaphase is
done by characterizing the individual chromosomes in cell
spread images. Currently, considerable effort and time is
spent to manually segment out chromosomes from cell
images, and classify the segmented chromosomes into one of
the twenty-four types, or in the case of diseased cells, to one
of the known translocated types. Segmenting out the
chromosomes in such images can be especially laborious and
is often done manually if there are overlapping
chromosomes in the image that are not easily separable by
image processing techniques. Many techniques have been
proposed to automate the segmentation and classification of
chromosomes from spread images with reasonable accuracy,
but given the criticality of the domain, a human in the loop is
often still required. In this paper, we present a method to
segment out and classify chromosomes for healthy patients
using a combination of crowdsourcing, pre-processing and
deep learning, wherein the non-expert crowd from
CrowdFlower is utilized to segment out the chromosomes
from the cell image, which are then straightened and fed into
a (hierarchical) deep neural network for classification.
Experiments are performed on four hundred healthy patient
images obtained from a hospital. Results are encouraging
and promise to significantly reduce the cognitive burden of
segmenting and karyotyping chromosomes.
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