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Description B‐scan OCT image of cancerous tissue
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description Inception‐v3 with inception layers architecture
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description Patch‐based average classification accuracy for number of iterations with augmented dataset
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description The framework of the cancer margin assessment showing training in upper and inference in lower stages
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description Reverse active learning
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description Patch‐based average classification accuracy for number of iterations without augmented datasets
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description Inception‐v3 architecture with separately inception layer (A) consists inception layers 1, 2, 3, 5 and 6 (B) includes inception layers 4 and 7, and (C) includes inception layers 8 and 9, respectively
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description The numbers of training set in each iteration with augmented dataset
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description The numbers of training dataset without augmentation in each iteration
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description Flow chart of flattening the surface of image
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description Schematic diagram of MEMS VCSEL SS‐OCT system. Cir, Circulator; PC, polarization controller; FC, fiber coupler; BD, balanced detector; Coll, collimator
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics -
Description ROC for augmented testing dataset
Article Title: Automated assessment of breast cancer margin in optical coherence tomography images via pretrained convolutional neural network
Publication Title: Journal of Biophotonics