Videos About Deep Learning
The following videos provide an introduction to deep learning topics such as image segmentation, denoising, and super resolution.
Training Deep Models for Image Segmentation
The following videos provide an overview of image segmentation with deep learning, as well as case studies about training deep models for different segmentation challenges.
Image Segmentation with Deep Learning
The video below provides an overview of training deep models for segmenting image data.
Image Segmentation with Deep Learning (43:05)
You also view this video and others about deep learning on our YouTube channel (https://www.youtube.com/channel/UCuFl2zHcyStR2RJpMXbi6ow).
The following topics are discussed in the video. Links to Help topics and other sources with further information are also provided.
- System requirements for deep learning (go to www.theobjects.com/dragonfly/deep-learning-requirements.html).
- Labeling training data and creating multi-ROIs from regions of interest (see Labeling Multi-ROIs for Deep Learning and Creating Multi-ROIs from Regions of Interest).
- Generating new models for binary and multi-phase segmentation (see Generating Deep Models for Semantic Segmentation).
- Choosing the inputs and training parameters (see Inputs Tab and Settings and Training Parameters Tab and Settings).
- Training deep models for semantic segmentation (see Training Deep Models for Semantic Segmentation).
- Previewing model predictions (see Previewing Model Inference).
- Segmenting full datasets (see Applying Deep Models).
KitKat Segmentation Case Study
The video below provides a case study for segmenting the multiple material phases.
KitKat Segmentation Case Study (11:44):
You also view this video and others about deep learning on our YouTube channel (https://www.youtube.com/channel/UCuFl2zHcyStR2RJpMXbi6ow).
Denoising with Deep Learning
The video below provides an overview for training deep models for denoising.
Denoising with Deep Learning (49:29)
You also view this video and others about deep learning on our YouTube channel (https://www.youtube.com/channel/UCuFl2zHcyStR2RJpMXbi6ow).
The following topics are discussed in the video. Links to Help topics with further information are also provided.
- System requirements for deep learning (go to www.theobjects.com/dragonfly/deep-learning-requirements.html).
- Extracting training data from marked slices (see Extracting New Images from Marked Slices).
- Generating deep models for denoising (see Generating Deep Models for Denoising).
- Selecting the inputs and setting the training parameters (see Model Training Panel).
- Training denoising models (see Training Deep Models for Denoising).
- Previewing training results (see Previewing Model Inference).
- Questions and answers.
Super Resolution with Deep Learning
The video below provides an overview of super resolution with deep learning.
Super Resolution with Deep Learning (29:46)
You also view this video and others about deep learning on our YouTube channel (https://www.youtube.com/channel/UCuFl2zHcyStR2RJpMXbi6ow).
The following topics are discussed in the video.
- What is super resolution?
- Super resolution with U-Net, WDSR-A/WDSR-B, and DenseNet.
- Questions and answers.
Deep Learning for Imaging Scientists
The video below provides an introduction to deep learning.
Deep Learning for Imaging Scientists (36:36)
You also view this video and others about deep learning on our YouTube channel (https://www.youtube.com/channel/UCuFl2zHcyStR2RJpMXbi6ow).
Advanced Topics with Deep Learning
The video below provides an introduction to deep learning.
Advanced Topics with Deep Learning (38:02)
You also view this video and others about deep learning on our YouTube channel (https://www.youtube.com/channel/UCuFl2zHcyStR2RJpMXbi6ow).
