MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction - Han, Changhee; Rundo, Leonardo; Murao, Kohei; Noguchi, Tomoyuki; Shimahara, Yuki; Milacski, Zoltán Ádám; Koshino, Saori; Sala, Evis; Nakayama, Hideki; Satoh, Shin’ichi (BMC bioinformatics, 2021)
Keywords: Abnormalities; Accumulation; Alzheimer Disease - diagnostic imaging; Alzheimer's disease; Aneurysms; Anomalies; Atrophy; Brain; Brain - diagnostic imaging; Brain cancer; Brain MRI reconstruction; Brain research; Brain slice preparation; Cognitive ability; Cognitive Dysfunction; Computer-aided medical diagnosis; Data analysis; Deep learning; Diagnosis; Generative adversarial networks; Humans; Image reconstruction; Imaging, Three-Dimensional; Lung cancer; Machine learning; Magnetic Resonance Imaging; Medical diagnosis; Medical imaging; Medical screening; Metastases; Metastasis; Methods; Neural networks; Neurodegenerative diseases; Neuroimaging; Outliers (statistics); Physicians; Self-attention; Training; Unsupervised anomaly detection; Various disease diagnosis; Japan; Generative adversarial networks; Brain MRI reconstruction; Various disease diagnosis; Unsupervised anomaly detection; Self-attention