Reversed Active Learning based Atrous DenseNet for Pathological Image Classification

6 Jul 2018 • Yuexiang Li • Xinpeng Xie • Linlin Shen • Shaoxiong Liu

Witnessed the development of deep learning in recent years, increasing number of researches try to adopt deep learning model for medical image analysis. However, the usage of deep learning networks for the pathological image analysis encounters several challenges, e.g. high resolution (gigapixel) of pathological images and lack of annotations of cancer areas... (read more)

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METHOD	TYPE
Convolution	Convolutions
Average Pooling	Pooling Operations
Concatenated Skip Connection	Skip Connections
Global Average Pooling	Pooling Operations
Kaiming Initialization	Initialization
1x1 Convolution	Convolutions
Batch Normalization	Normalization
ReLU	Activation Functions
Dropout	Regularization
Dense Connections	Feedforward Networks
Max Pooling	Pooling Operations
Softmax	Output Functions
DenseNet	Convolutional Neural Networks
Dense Block	Image Model Blocks

METHOD

TYPE

Convolution