![Deep Learners and Deep Learner Descriptors for Medical Applications](/uploads/posts/2020-05/1589708737_cov250mk.jpg)
Автор: Loris Nanni, Sheryl Brahnam
Издательство: Springer
Год: 2020
Страниц: 286
Язык: английский
Формат: pdf (true), epub
Размер: 51.4 MB
Deep Learning (DL) is one of the best-performing approaches in Artificial Intelligence (AI), a field that was revolutionized when it was first proposed. The main feature of Deep Learning is its layered structure, with the different layers forming a hierarchy of processing stages ranging from low-level (layers closer to the input), where more generalizable information or descriptors are discovered, to high-level analysis (layers further away from the input), where information flowing through the network represents high-level concepts. What this means is that every layer adds a certain level of abstraction to the overall representation. Considering medical image interpretation, DL analyzes data through several stages: at a lower level, small image patches are considered, leading to features like edges and texture.