diminishes their performance. We examine the design and value of a bias-aware linear classification algorithm that accounts for … bias in input data, using breast cancer diagnosis as our specific setting. In this context, a referring physician makes a …

microscopy without the need of any feature extraction, using a minimum of images, improving work-flows that involve cancer cell … Neural Network in distinguishing between two cancer lines. In their approach, they trained, validated and tested their 6 …-layer CNN on 1,241 images of MDA-MB-468 and MCF7 breast cancer cell line in an end-to-end fashion, allowing the system to …