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2. Psychosocial experiences of breast cancer survivors: a meta-review
3. Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet
4. A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities
5. Cancer detection and segmentation using machine learning and deep learning techniques: a review
6. Information needs in breast reconstruction after mastectomy: a qualitative analysis of free-text responses from 2077 women
7. Exploration of MELK as a downstream of Del-1 and druggable targets in triple-negative breast cancer
8. Application of deep learning and XGBoost in predicting pathological staging of breast cancer MR images
9. A metaheuristic approach based on coronavirus herd immunity optimiser for breast cancer diagnosis
10. Repurposing mebendazole against triple-negative breast cancer CNS metastasis
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