Fig. 1From: Reducing the number of unnecessary biopsies for mammographic BI-RADS 4 lesions through a deep transfer learning methodDTL diagram. The format of the input images was BMP. The process is divided into three parts: image neural network feature extraction, model training and testing, and model validation. The selected optimizer was the “Adam” optimizer, learning rate was 0.0001Back to article page