… deep neural network, namely Spatially Structured Network (Spatio-Net) to tackle the metastasis
detection … By integrating the Convolutional Neural Network (CNN) with the 2D Long-Short …

… Deep learning has been utilized in automatic cancer … To solve this problem, this paper
proposes an effective spatially sensitive learning framework for cancer metastasis detection in …

… In recent years, with the advent of convolutional neural networks (CNNs) and their excellent
… trend to adapt CNN in computer assisted detection of lymph node metastasis in WSIs [4] [5]. …

… However, neighboring patches often share spatial correlations, and ignoring these spatial …
neural conditional random field (NCRF) deep learning framework to detect cancer metastasis …

… best performance on metastasis detection. Kong et al. [42] proposed … spatially structured
deep network containing appearance and spatial dependency information for cancer metastasis …

… -art deep learning models are used along with a large-scale data set to detect invasive breast
cancer regions in WSIs. This approach automates breast cancer detection at intermediate- …

… present a graph neural network framework that allows the identification of multiregion spatial
… PTEN loss of expression predicts cetuximab efficacy in metastatic colorectal cancer patients…

… detection and classification of breast cancer metastases in … data, a supervised Convolutional
Neural Network (CNN) can … for modeling these spatial dependencies by using the concept …

… Deep learning has been utilized in automatic cancer metastasis detection in recent years. …
Convolutional neural network F • generally consists of convolution, spatial pooling, and …

… As the cancer evolves, its growth can spread beyond the lung … a solution to edge detection
using deep neural networks. … While U-Net is able to identify spatial relationships through the …