![Automated defect inspection machine](https://dev.rsipvision.com/wp-content/uploads/2018/08/Automated-defect-inspection-machine-300x200.jpg)
Automated Defect Inspection Using Deep Learning
![Cardiac Motion Correction](https://dev.rsipvision.com/wp-content/uploads/2018/08/Cardiac-Motion-Correction-300x118.jpg)
Deep Learning in Cardiology
1.1 Segmentation tasks [10] suggest a new fully convolutional network architecture for the task of cardiovascular MRI segmentation. The architecture is based on the idea
![RegNet](https://dev.rsipvision.com/wp-content/uploads/2018/08/RegNet-300x106.jpg)
Deep Learning in Pulmonology
Deep learning has been successfully applied in various applications in pulmonary imaging, including CT registration, airway mapping, real time catheter navigation, and pulmonary nodule detection.
![Zoom-in-Net](https://dev.rsipvision.com/wp-content/uploads/2018/08/Zoom-in-Net-1-300x182.png)
Deep Learning in Ophthalmology
Recent works suggest novel deep learning tools for detection, segmentation and characterization of eye disorders. Accurate segmentation of retinal fundus lesions and anomalies in imaging
![Joint reconstruction and segmentation](https://dev.rsipvision.com/wp-content/uploads/2018/08/Joint_reconstruction_and_segmentation_2-1-300x120.png)
Deep Learning in Brain Imaging
![U-Net network architecture](https://dev.rsipvision.com/wp-content/uploads/2018/08/u_net-300x231.png)
Deep Learning in Medical Imaging
![Macro Defects Detection](https://dev.rsipvision.com/wp-content/uploads/2018/08/Macro-Defects-Detection-2-300x261.jpg)
Wafer Macro Defects Detection and Classification
![Echo cancellation](https://dev.rsipvision.com/wp-content/uploads/2018/07/Echo-cancellation-300x127.jpg)
Echo Cancellation Using Deep Learning
Complete cancellation of returned acoustic echo signal is still an unresolved issue in signal processing. When a signal from a speaker in one end of
![Pattern matching](https://dev.rsipvision.com/wp-content/uploads/2017/02/Deep-Learning-oranges-276x300.jpg)
Pattern Matching Algorithms
Pattern matching in computer vision refers to a set of computational techniques which enable the localization of a template pattern in a sample image or
![Classification and Segmentation of Dendritic cells](https://dev.rsipvision.com/wp-content/uploads/2018/07/Classification-and-Segmentation-of-Dendritic-cells-300x153.jpg)
Classification and Segmentation of Dendritic Cells
Dry eye disease (DED) is one of the most common ophthalmic disorders. Inflammation of the ocular surface is controlled by corneal antigen-presenting cells called dendritic