Systems and methods for detection of biological structures and/or patterns in images
Номер патента: EP3146463A1
Опубликовано: 29-03-2017
Автор(ы): Christophe CHEFD´HOTEL, Ting Chen
Принадлежит: Ventana Medical Systems Inc
Опубликовано: 29-03-2017
Автор(ы): Christophe CHEFD´HOTEL, Ting Chen
Принадлежит: Ventana Medical Systems Inc
Реферат: The subject disclosure presents systems and computer-implemented methods for automatic immune cell detection that is of assistance in clinical immune profile studies. The automatic immune cell detection method involves retrieving a plurality of image channels from a multi-channel image such as an RGB image or biologically meaningful unmixed image. A cell detector is trained to identify the immune cells by a convolutional neural network in one or multiple image channels. Further, the automatic immune cell detection algorithm involves utilizing a non-maximum suppression algorithm to obtain the immune cell coordinates from a probability map of immune cell presence possibility generated from the convolutional neural network classifier.
A system and computer-implemented method for segmenting an image
Номер патента: EP3639240A1. Автор: Wenqi Li,Tom Vercauteren,Sebastien Ourselin,Guotai Wang,Lucas FIDON. Владелец: UCL BUSINESS LTD. Дата публикации: 2020-04-22.