论文阅读：Computer-aided Detection of Squamous Carcinoma

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.
  

2.3 Deep-learning CNN for Tile-based Classification

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