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SUMMARY:The annotation and practical problems in pathology image analysis 
 with deep learning approaches  - Dr Jing Ke\, Shanghai Jiaotong University
DTSTART:20230726T120000Z
DTEND:20230726T130000Z
UID:TALK203542@talks.cam.ac.uk
CONTACT:Yuan Huang
DESCRIPTION:*Abstract:*\nThe large volume\, enormous medical information\,
  and stain variation are depicted as pathology image attributes\; correspo
 ndingly\, the products in the deep learning approaches\, e.g.\, the heavy 
 annotation workload\, the diverse labeling strategy\, the stain normalizat
 ion unreliability\, and the various artifacts\, have hindered the diagnose
 s of pathology image. This talk presents some practical difficulties with 
 deep learning techniques and our state-of-the-art resolutions to the issue
 s.\n\n*Venue:*\nThe seminar will be held between 1-2pm on Wednesday 26th J
 uly at MR 12\, Centre for mathematical Sciences\, CB3 0WA. Alternatively y
 ou can also join online via ZOOM: https://maths-cam-ac-uk.zoom.us/j/933311
 32587?pwd=MlpReFY3MVpyVThlSi85TmUzdTJxdz09.\n\n*Biography:*\nJing Ke\, Ph.
 D. of the University of New South Wales\, is an assistant professor at Sha
 nghai Jiao Tong University\, and an adjunct lecturer at the University of 
 New South Wales. She has many years of commercial experience in Advanced M
 icro Devices\, Inc. (AMD) and Commonwealth Scientific and Industrial Resea
 rch Organization (CSIRO). Her research interest is in computational pathol
 ogy and parallel computing of large-scale images. She has 20+ publications
  as the first/last author in medical journals and conferences\, e.g.\, IEE
 E Trans on Medical Imaging Analysis\, Medical Image Analysis\, and MICCAI.
  She has 10 conference papers in computer architecture and high-performanc
 e computing\, e.g.\, MICRO\, DAC\, and IPDPS\, as well as a textbook in GP
 GPU programming. She has received a grant of the National Natural Science 
 Foundation of China\, a grant of the Natural Science Foundation of Shangha
 i\, and two Shanghai Jiao Tong University Medical Engineering Cross Fund. 
 She is a topic editor of Frontiers in Radiology and a reviewer of TPAMI\, 
 TMI\, and MICCAI.\n
LOCATION:Centre for Mathematical Sciences\, MR12\; also see abstract for Z
 oom link
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