Supervised Graph Hashing for Histopathology Image Retrieval and Classification

Histopathology plays an important role in the early diagnosis of different cancers, such as lung and breast cancers. However, manual examination of histopathological images is labor intensive, time consuming and error-prone due to high-resolution and subjective assessment of doctors. To reduce the workload of pathologists and provide more reliable and consistent analysis of histopathological images, image process techniques and modern machine learning algorithms have been widely used for medical diagnosis, disease detection and decision support (Petushi et  al., 2006; Yang et al., 2007; Caicedo et al., 2009; Basavanhally et al., 2010; Dundar et al., 2011; Tabesh et al., 2007; Xing and Yang, 2016).

Source: Medical Image Analysis - August 1, 2017 Category: Radiology Authors: Xiaoshuang Shi, Fuyong Xing, Kadi Xu, Yuanpu Xie, Hai Su, Lin Yang Source Type: research