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List of Papers to Read on Histopathology Analysis #6

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mahendrakhened opened this issue Sep 23, 2019 · 0 comments
Open

List of Papers to Read on Histopathology Analysis #6

mahendrakhened opened this issue Sep 23, 2019 · 0 comments

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@mahendrakhened
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mahendrakhened commented Sep 23, 2019

  1. Machine Learning Methods for Histopathological Image Analysis - Review paper covering various applications and problems surrounding histopathological analysis
  2. Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases
    https://arxiv.org/pdf/1904.09075.pdf
  3. High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
    https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0196828
  4. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
    https://www.microsoft.com/en-us/research/uploads/prod/2018/06/2017SCIBMClarge-scale-tissue-histopathology-image-classification-segmentation-and-visualization-via-deep-convolutional-activation-features.pdf
  5. Imitating Pathologist Based Assessment With Interpretable and Context Based Neural Network Modeling of Histology Images
    https://journals.sagepub.com/doi/full/10.1177/1178222618807481
  6. Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data
    https://arxiv.org/pdf/1904.06969.pdf
    http://proceedings.mlr.press/v102/burlutskiy19a.html
  7. Deep Learning Based Analysis of Histopathological Images of Breast Cancer
    https://www.frontiersin.org/articles/10.3389/fgene.2019.00080/full
  8. Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
    http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2016;volume=7;issue=1;spage=29;epage=29;aulast=Janowczyk;t=6
  9. Classification of colorectal cancer based on correlation of clinical, morphological and molecular features
    http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.476.4786&rep=rep1&type=pdf
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