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论文阅读:Computer-aided Detection of Squamous Carcinoma

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2. Material and methods

  1. ROI
  2. Tile-based classification
  3. slide-based classification

2.2 ROI detection with Image Processing

  • Using OTSU, multilevel mapping
  • First covert the original image from RGB to HSV
  • Generate binary mask
  • Extract tissue region using tisue mask and image morphology operations.
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2.3 Deep-learning CNN for Tile-based Classification

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训练三种模型(Inceptionv3, InceptionResnet-v2, Resnet50),然后组合起来变成一个新的模型。
DataAugmentation

2.4 Post-processing

256X256 pixel patch produce heatmap

build classifier for slide-based classification

使用heatmap的特征来进行分类器的训练

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