radiologistcodesitasaBI-RADS®category3(Lesionstabilityandnofindings;Bilateral Mammographyin12monthstofurtherfollowtheprobablybenignfindingandforscreeningof therestofbothbreasts).Isitpermissibletoimplementasecondcategory3patientlayletter, statingcategory3,returnin12monthsformammogram?
Based on this shortcoming, in this study, we introduce a new benchmark dataset, "TR-BI-RADS", for mammogram classification based on BI-RADS standardization. A convolution neural network (CNN) is evaluated on this dataset. In addition to the newly defined (TR-BI-RADS) dataset, experiments ...
Currently, mammography and ultrasonography are the most used imaging techniques for breast cancer screening. However, these examinations report many indeterminate studies with a low probability of being malignant, i.e., BIRADS 3 and 4A. This prospective study aims to evaluate the value of breast ma...
Liu, Y., et al.: From unilateral to bilateral learning: detecting mammogram masses with contrasted bilateral network. In: Shen, D., et al. (eds.) MICCAI 2019. LNCS, vol. 11769, pp. 477–485. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-32226-7_53 Chapter Google Scho...