Frontiers | Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT
Convolutional neural networks: an overview and application in radiology | Insights into Imaging | Full Text
How does one calculate the gradients of a convolution neural network? - Quora
Effect of patch size and network architecture on a convolutional neural network approach for automatic segmentation of OCT retinal layers
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification
Lung Cancer Histology Image Classification with Convolutional Neural Network (Level 1 - Patch)
Image Patch - an overview | ScienceDirect Topics
ConvMixer: Patches Are All You Need? Overview and thoughts 🤷 | by Sieun Park | CodeX | Medium
Patch-wise convolutional neural network and patch size is 13 × 13,... | Download Scientific Diagram
cnn - What is meant by 'training patch size'? - Data Science Stack Exchange
Convolutional Neural Networks (CNNs): An Illustrated Explanation - XRDSXRDS
Image Patch - an overview | ScienceDirect Topics
How to Select the Correct Magnification and Patch Size for Digital Pathology Projects - Andrew Janowczyk
Patch-based CNN evaluation for bark classification
Image scoring: Patch based CNN model for small or medium dataset | Semantic Scholar
![Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-497/1/fig-2-full.png "Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation [PeerJ]")
Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation [PeerJ]
River state classification combining patch-based processing and CNN | PLOS ONE
Pooling operation, input image patch size and layer number in... | Download Scientific Diagram
Remote Sensing | Free Full-Text | A Patch-Based Light Convolutional Neural Network for Land-Cover Mapping Using Landsat-8 Images
Are Transformers better than CNN's at Image Recognition? | by Arjun Sarkar | Towards Data Science
Patch Based Classification of Remote Sensing Data: A Comparison of 2D-CNN, SVM and NN Classifiers | DeepAI
Vision Transformers vs. Convolutional Neural Networks | by Fahim Rustamy, PhD | Medium
MTI | Free Full-Text | patchIT: A Multipurpose Patch Creation Tool for Image Processing Applications
Eleven-layer CNN model architecture trained using multi-sequence 3D... | Download Scientific Diagram
Patch preparation process and different proposed CNN architectures. | Download Scientific Diagram
CNN training and parameters evaluation. The input window size... | Download Scientific Diagram
