Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images

Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images

Introduction: Prostate cancer is a highly heterogeneous disease, presenting varying levels of aggressiveness and response to treatment. Angiogenesis is one of the hallmarks of cancer, providing oxygen and nutrient supply to tumors. Micro vessel density has previously been correlated with higher Glea...

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Bibliographic Details
Main Authors: Grigorios M. Karageorgos, Sanghee Cho, Elizabeth McDonough, Chrystal Chadwick, Soumya Ghose, Jonathan Owens, Kyeong Joo Jung, Raghu Machiraju, Robert West, James D. Brooks, Parag Mallick, Fiona Ginty
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Bioinformatics
Subjects:
deep learning
blood vessel detection
pathology image analysis
prostate cancer
automated segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/fbinf.2023.1296667/full

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https://www.frontiersin.org/articles/10.3389/fbinf.2023.1296667/full

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