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The U-Net segmentation model was trained using a combination of Dice loss and Binary Cross-Entropy (BCE) loss to effectively handle class imbalance and improve boundary-level segmentation accuracy

It also sets clear, national determinations to achieve by 2020 which are Reduce the number of 15 year olds who regularly smoke from 8% to 3% or less Reduce smoking among adults in England from 15.5% to 12% or less Reduce the inequality gap in smoking prevalence, between those in routine and manual occupations and the general population Reduce the prevalence of smoking in pregnancy from 10.5% to 6% or less Commissioners and service planners need to think about offering a range of opportunities to support people to stop smoking and the governments national ambitions: Effective services and therapies informed by national guidance and data intelligence