Jun 6, 2018 · In this manuscript, we propose a CNN approach for micro-level and macro-level analysis of breast tissue images. The two networks share the ...
Herein, we propose a CNN approach to perform patch- and pixel-wise histology labeling on breast microscopy and whole slide images (WSI), respectively. We devise ...
Multi-class breast tumor region detection for gigapixel pathology images using deep neural network with rescale approach · Medicine, Computer Science.
Herein, we propose a CNN approach to perform patch- and pixel-wise histology labeling on breast microscopy and whole slide images (WSI), respectively. We devise ...
Micro and Macro Breast Histology Image Analysis by Partial Network Re-use. Q. Vu, M. To, E. Kim, and J. Kwak. ICIAR, volume 10882 of Lecture Notes in ...
Micro and macro breast histology image analysis by partial network re-use. QD Vu, MNN To, E Kim, JT Kwak. Image Analysis and Recognition: 15th International ...
Mar 7, 2024 · Recurrent Neural Networks (RNNs): RNNs are another deep learning technique that has been used in breast cancer diagnosis. They are particularly ...
Missing: Micro | Show results with:Micro
In this review, we present a comprehensive overview of the BHIA techniques based on ANNs. First of all, we categorize the BHIA systems into classical and deep ...
Dec 8, 2023 · The proposed approach has achieved excellent results and could be used in CAD systems for breast cancer detection from histopathology images.
Classification of breast cancer histology images using Convolutional Neural Networks ... Micro and Macro Breast Histology Image Analysis by Partial Network Re-use.