APAC CIOOutlook

Advertise

with us

  • Technologies
      • Artificial Intelligence
      • Big Data
      • Blockchain
      • Cloud
      • Digital Transformation
      • Internet of Things
      • Low Code No Code
      • MarTech
      • Mobile Application
      • Security
      • Software Testing
      • Wireless
  • Industries
      • E-Commerce
      • Education
      • Logistics
      • Retail
      • Supply Chain
      • Travel and Hospitality
  • Platforms
      • Microsoft
      • Salesforce
      • SAP
  • Solutions
      • Business Intelligence
      • Cognitive
      • Contact Center
      • CRM
      • Cyber Security
      • Data Center
      • Gamification
      • Procurement
      • Smart City
      • Workflow
  • Home
  • CXO Insights
  • CIO Views
  • Vendors
  • News
  • Conferences
  • Whitepapers
  • Newsletter
  • Awards
Apac
  • Artificial Intelligence

    Big Data

    Blockchain

    Cloud

    Digital Transformation

    Internet of Things

    Low Code No Code

    MarTech

    Mobile Application

    Security

    Software Testing

    Wireless

  • E-Commerce

    Education

    Logistics

    Retail

    Supply Chain

    Travel and Hospitality

  • Microsoft

    Salesforce

    SAP

  • Business Intelligence

    Cognitive

    Contact Center

    CRM

    Cyber Security

    Data Center

    Gamification

    Procurement

    Smart City

    Workflow

Menu
    • Cyber Security
    • Hotel Management
    • Workflow
    • E-Commerce
    • Business Intelligence
    • MORE
    #

    Apac CIOOutlook Weekly Brief

    ×

    Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIOOutlook

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    The Impact of Deep Learning to Diagnose Cancer

    The growing impact of cancer on human beings results in affecting millions of lives every year.  

    The Impact of Deep Learning to Diagnose Cancer

    By

    Apac CIOOutlook | Friday, January 24, 2020

    Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

    The growing impact of cancer on human beings results in affecting millions of lives every year. With an aim to cure this ailment, researchers took an initiative to understand the disease better and therefore shifted their focus from traditional methods to advanced research techniques. The increased research and trials of disparate test samples and test patients for detailed and advanced studies led to the generation of complex and inaccurate data. In order to optimize the data generated from incompatible sources, deep learning techniques like Deep Neural Networks (DNNs) and Recurrent Neural Networks (RNNs) help researchers and scientists to effectively analyze complex data, and decrease human error rates. Deep learning techniques help in curbing fatal diseases by predicting the disease’s pharmacological properties like toxicity and its side effects.

    With the help of these advanced research techniques and other deep-learning tools like Intel Deep Learning SDK, and Supervised Semantics-Preserving Deep Hashing (SSDH) network, a Brazilian federal auditor Luis Andre Dutra e Silva enhanced the accuracy in screening cervical cancer by 81 percent. With a high success rate in the domain of cervical cancer, these days deep learning models are put to use so as to compute the size of tumors and detect unnoticed metastases. These models have catered medical practitioners the ability to achieve higher diagnostic accuracy and reduce the frequency of invasive biopsies. Harvard Medical School’s Beth Israel Deaconess Medical Centre reported a significant decline of 85 percent in error rate when researchers use deep learning to diagnose breast cancer.

    Although the advantages of leveraging deep learning techniques for enhanced cancer diagnosis are many, it requires a unique set of skills to build an operation deep learning model. The field requires computer programming experts so as to design and orchestrate deep learning models that would aid the scientists in curbing cancer.

    Check out: Top Oncology Solution Companies
     

    More in News

    Transforming Retail: The Impact of VR and AR in Asia Pacific

    Transforming Retail: The Impact of VR and AR in Asia Pacific

    Enhancing Customer Satisfaction through Omni-Channel Payments

    Enhancing Customer Satisfaction through Omni-Channel Payments

    AI's Role in Apac's Digital Transformation Journey

    AI's Role in Apac's Digital Transformation Journey

    Influence of AI on Supply Chain Management

    Influence of AI on Supply Chain Management

    I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

    Copyright © 2025 APAC CIOOutlook. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy and Anti Spam Policy 

    Home |  CXO Insights |   Whitepapers |   Subscribe |   Conferences |   Sitemaps |   About us |   Advertise with us |   Editorial Policy |   Feedback Policy |  

    follow on linkedinfollow on twitter follow on rss
    This content is copyright protected

    However, if you would like to share the information in this article, you may use the link below:

    https://www.apacciooutlook.com/news/the-impact-of-deep-learning-to-diagnose-cancer-nwid-5180.html