作者: Pierre Buyssens , Abderrahim Elmoataz , Olivier Lézoray
DOI: 10.1007/978-3-642-37444-9_27
关键词: Pleural Cancer 、 Artificial intelligence 、 Virtual slide 、 Vision based 、 SAFER 、 Convolutional neural network 、 Computer science
摘要: We present a Multiscale Convolutional Neural Network (MCNN) approach for vision---based classification of cells. Based on several deep Networks (CNN) acting at different resolutions, the proposed architecture avoid classical handcrafted features extraction step, by processing and as whole. The gives better rates than state---of---the---art methods allowing safer Computer---Aided Diagnosis pleural cancer.