From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision | by Heather Couture | Towards Data Science
Adversarial patches: colorful circles that convince machine-learning vision system to ignore everything else | Boing Boing
Learning Deep Patch representation for Probabilistic Graphical Model-Based Face Sketch Synthesis | SpringerLink
Patch extraction: devil in details | Wide baseline stereo meets deep learning
From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision | by Heather Couture | Towards Data Science
Training Patch - an overview | ScienceDirect Topics
MIT Researchers Propose Patch-Based Inference to Reduce the Memory Usage for Tiny Deep Learning - MarkTechPost
From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision | by Heather Couture | Towards Data Science
Illustration of the deep learning system. The training of the Augsburg... | Download Scientific Diagram
From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision | by Heather Couture | Towards Data Science
Image Patch - an overview | ScienceDirect Topics
Deep learning-Based 3D inpainting of brain MR images | Scientific Reports
Figure 1 from Label enhanced and patch based deep learning for phase retrieval from single frame fringe pattern in fringe projection 3D measurement. | Semantic Scholar
cnn - What is meant by 'training patch size'? - Data Science Stack Exchange
Framework of the proposed patch based deep descriptor learning. | Download Scientific Diagram
From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision | by Heather Couture | Towards Data Science
Bioengineering | Free Full-Text | Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
How to Select the Correct Magnification and Patch Size for Digital Pathology Projects - Andrew Janowczyk
Patch preparation process and different proposed CNN architectures. | Download Scientific Diagram
Xtra Library for Thermo Scientific Amira, Avizo and PerGeos Software | Patch Extraction Tools for Deep Learning Data Preparation
MIT Researchers Propose Patch-Based Inference to Reduce the Memory Usage for Tiny Deep Learning : r/computervision
Image patch extraction from annotated WSI to create labelled dataset for deep learning training - Image Analysis - Image.sc Forum
MIB: Tutorial on 2D patch-wise segmentation using deep learning - YouTube
From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision | by Heather Couture | Towards Data Science
Illustration of the steps involved in each of the two deep learning... | Download Scientific Diagram
