Mungi Kwon. (2020). Nuclear Segmentation Using Convolutional Neural Networks with Limited Training Data. doi: 10.22677/Theses.200000285883
Type
Thesis
Description
Nuclear, Instance segmentation, Deep convolutional neural network, Watershed algorithm, Siamese network, Using unlabeled data, Label smoothing
Table Of Contents
Ⅰ. INTRODUCTION 1 1.1 Introduction 1 1.2 Related works 2 ⅠⅠ. Method 4 2.1 Nuclei segmentation using deep learning based watershed algorithm 4 A. Deep learning based watershed algorithm 4 B. Implementation details 5 2.2 Separation of adjacent nuclei using a Siamese neural network 5 A. Overall procedure 6 B. Proposed network 7 C. Implementation details 8 2.3 Segmentation using unlabeled data 9 A. Label smoothing 9 B. Implementation details 10 ⅠⅠⅠ. Experimental results 10 3.1 Data set 10 3.2 Evaluation metrics 11 3.3 Comparison methods 11 3.4 Segmentation accuracy 13 3.5 Classification accuracy 13 3.6 Accuracy with labeled and unlabeled data 15 VI. Conclusion 17 References 18
