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SUMMARY:Deep Learning Applications for Histological Image Analysis - Matej
  Halinkovic\, Vision and Graphics Group\, Institute of Computer Engineerin
 g and Applied Informatics\, Slovak University of Technology 
DTSTART:20230926T100000Z
DTEND:20230926T110000Z
UID:TALK205786@talks.cam.ac.uk
CONTACT:Ines Machado
DESCRIPTION:The *Cancer Research UK Cambridge Centre* and the *Department 
 of Radiology at Addenbrooke's* are pleased to announce a seminar series on
  *Artificial Intelligence (AI) in Medicine*\, which aims to provide a comp
 rehensive overview of the latest developments in this rapidly evolving fie
 ld. As AI continues to revolutionize healthcare\, we believe it is essenti
 al to explore its potential and discuss the challenges and opportunities i
 t presents. \n\nThe seminar series will feature prominent experts in the f
 ield who will share their research and insights on a range of topics\, inc
 luding AI applications in disease diagnosis\, drug discovery\, and patient
  care. Each seminar will also include a Q&A session to facilitate discussi
 on and exchange of ideas among participants. \n\nThe next seminar will be 
 held on the *26th of September 2023 at 11am* (Online\, Zoom) and will feat
 ure: \n\n*Deep Learning Applications for Histological Image Analysis – M
 atej Halinkovic\, Vision and Graphics Group\, Institute of Computer Engine
 ering and Applied Informatics\, Slovak University of Technology.*\n\nAnaly
 sis of structures contained in tissue samples and the relevant contextual 
 information is of utmost importance to histopathologists during diagnosis.
  Our work primarily focuses on histological tissue samples and helping pat
 hologists with the analysis of cardiac biopsies. We propose a method that 
 provides supporting information in the form of structure segmentation to h
 istopathologists while simulating their workflows. The proposed method uti
 lizes semantic nuclei maps in addition to hierarchical image input for the
  semantic segmentation of blood vessels\, inflammation\, and endocardium i
 n heart tissue. We demonstrate that the decision process of the deep learn
 ing model utilizes the supporting information correctly through custom-des
 igned attention modules. \n\nMatej is a Ph.D. at the Slovak University of 
 Technology in Bratislava focusing on explainable deep learning methods for
  computer vision. Matej has worked on research projects that centered on m
 edical applications of computer vision and toxicology. He graduated magna 
 cum laude and received the rector’s prize for his master’s thesis. Pro
 fessionally\, he’s also experienced with applications of computer vision
  in satellite imagery\; working on projects supported by the European Spac
 e Agency. \n\n \n\nEach session will involve two talks\, followed by an in
 teractive discussion with coffee and pastries! We hope that this seminar s
 eries will be a valuable platform for researchers\, practitioners\, and st
 udents to learn about the latest trends and explore collaborations in the 
 exciting field of AI in Medicine. \n\nThis is a hybrid event so you can al
 so join via Zoom: \n\n\nhttps://zoom.us/j/99050467573?pwd=UE5OdFdTSFdZeUtI
 cU1DbXpmdlNGZz09 \n\nMeeting ID: 990 5046 7573 and Passcode: 617729 \n\nWe
  look forward to your participation! If you are interested in getting invo
 lved and presenting your work\, please email Ines Machado at im549@cam.ac.
 uk  
LOCATION:Online event - Zoom link in the description
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