The scarcity of available breast cancer datasets, attributed to the labor-intensive curation and labeling of images, coupled with privacy concerns, serves as a driving force behind investigating GANs as a potential solution. This exploration aims to address the challenge of obtaining a more extensive...
mammogram augmentationThe Deep Neural Networks have gained prominence in the biomedical domain, becoming the most commonly used networks after machine learning technology. Mammograms can be used to detect breast cancers with high precision with the help of Convolutional Neural Network (CNN) which is ...
Because it takes images from multiple angles, there is a possibility that a 3D mammogram may reduce the need for additional imaging. And it may make it easier to identify certain types of breast changes, especially in women with dense breasts. This may be particularly true in combination with ...
Wang SH, Lv YD, Sui Y, et al (2018) Alcoholism detection by data augmentation and convolutional neural network with stochastic pooling. J Med Syst 42. https://doi.org/10.1007/s10916-017-0845-x Rahangdale A, Raut S (2019) Deep neural network regularization for feature selection in learnin...
The obtained results were satisfying, putting InceptionResNetV2 and VGG16 trials ahead of the other feature extractors with 99.83% accuracy, followed by the MobileNetV2 trial with 99.42%. That was due to the well-chosen pre-processing filters. Meanwhile, the other models es...
To avoid sampling bias, 80% of the images were randomly selected for training, with the remaining 20% used for testing and validation for all stages, and were independent of the breast mass types and density level. Finally, augmentation settings were set into degrees of rotation of 30° to ...
Microcalcifications, small calcium deposits within breast tissue, are critical markers for early detection of breast cancer, especially in non-palpable carcinomas. These microcalcifications, appearing as small white spots on mammograms, are challenging to identify due to potential confusion with other ...
The most popular screening method for breast cancer, mammography, produces precise biological images that can help with the early detection of malignancies. However, it is still difficult to correctly interpret mammography pictures, which frequently results in false positives or negatives. This study ...
We choose 115 breast mammography photographs with masses from the INbreast database for this study. The amount of breast mammography images was increased to 7732 image data by data augmentation. We utilize the preprocessing process to the breast mammography images, and then apply the CNN ideal is...
The aim of this study is to assist in evaluation of breast volumes with the Quantra™ software application, intended for use with Hologic™ digital mammography systems. Twenty-eight women were studied with full-field digital mammography (FFDM) with the Quantra™ software application, for use ...