Algorithms for segmentation and recognition of objects on medical images based on chiarlet transformation and neural networks
Yousif A. Hamad, Konstantin Vasilievich Simonov, Anzhelika Kents · Informatization and communication · 2020
The paper considers general approaches to image processing, analysis of visual data and computer vision. The main methods for detecting features and edges associated with these approaches are presented. A brief description of modern edge detection and classification algorithms suitable for isolating and characterizing the type of pathology in the lungs in medical images is also given.