Automatic Cancer Detection and Classification in Whole-slide Lung Histopathology (ACDC@LungHP)

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Automatic Cancer Detection and Classification in Whole-slide Lung Histopathology (ACDC@LungHP)

2019

Digital pathology has been gradually introduced in clinical practice. Although the digital pathology scanner could give very high resolution whole-slide images (WSI) (up to 160nm per pixel), the manual analysis of WSI is still a time-consuming task for the pathologists. Automatic analysis algorithms offer a way to reduce the burden for pathologists. Our proposed challenge will focus on automatic detection and classification of lung cancer using Whole-slide Histopathology. This subject is highly clinical relevant because lung cancer is the top cause of cancer-related death in the world.

Technical Committee: Bio Imaging and Signal Processing

SPS on Twitter

  • Share SPS membership with your students, colleagues, and friends! Celebrate - Students and Professionals… https://t.co/qXNA12wxQ6
  • DEADLINE APPROACHING: The IEEE Transactions on Multimedia is accepting submissions for a Special Issue on Learning… https://t.co/XHR6eqwR1p
  • Celebrate now through 27 February! Get a 50% discount on SPS membership – offers available for Student a… https://t.co/enKoDMwiek
  • The SPACE Webinar Series continues Tuesday, 23 February at 10:00 AM EST when Dr. Pier Luigi Dragotti presents "Comp… https://t.co/FcZaAiHzZE
  • The Brain Space Initiative Talk Series continues on Friday, 26 February at 11:00 AM EST when Dr. Emmanuelle Tognoli… https://t.co/PTMXdSGpMa

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar