27 citations · 27 across the 2 of their papers we have counts for
2 papers
eess.IV2024
Features Fusion for Dual-View Mammography Mass Detection
Arina Varlamova, Valery Belotsky, Grigory Novikov +2
Detection of malignant lesions on mammography images is extremely important for early breast cancer diagnosis. In clinical practice, images are acquired from two different angles,…
eess.IV2019★ 27 cited
Perceptual Image Anomaly Detection
Nina Tuluptceva, Bart Bakker, Irina Fedulova +1
We present a novel method for image anomaly detection, where algorithms that use samples drawn from some distribution of "normal" data, aim to detect out-of-distribution (abnormal)…