[HTML][HTML] Artificial intelligence in breast cancer imaging: Risk stratification, lesion detection and classification, treatment planning and prognosis—A narrative review
M Cè, E Caloro, ME Pellegrino, M Basile… - … of Targeted Anti …, 2022 - ncbi.nlm.nih.gov
The advent of artificial intelligence (AI) represents a real game changer in today's landscape
of breast cancer imaging. Several innovative AI-based tools have been developed and …
of breast cancer imaging. Several innovative AI-based tools have been developed and …
Anticancer role of mango (Mangifera indica L.) peel and seed kernel extracts against 7,12- dimethylbenz[a]anthracene-induced mammary carcinogenesis in female …
Breast cancer is the second leading cause of cancer death among women. The present
study is an effort to reveal the antiproliferative and antioxidant actions of mango seed kernel …
study is an effort to reveal the antiproliferative and antioxidant actions of mango seed kernel …
Towards a cancer mission in Horizon Europe: recommendations
A Berns, U Ringborg, JE Celis, M Heitor… - Molecular …, 2020 - Wiley Online Library
A comprehensive translational cancer research approach focused on personalized and
precision medicine, and covering the entire cancer research–care–prevention continuum …
precision medicine, and covering the entire cancer research–care–prevention continuum …
A multi-institutional real world data study from India of 3453 non-metastatic breast cancer patients undergoing upfront surgery
DC Doval, S Radhakrishna, R Tripathi, RI Kashinath… - Scientific reports, 2020 - nature.com
The present analysis reports the clinical, pathological, treatment profile and overall survival
(OS) and disease-free survival (DFS) outcomes of consecutive breast cancer patients from …
(OS) and disease-free survival (DFS) outcomes of consecutive breast cancer patients from …
Modeling Interest in Visiting Through Expected Values in Tourism at Solok Regency, Indonesia
Purpose: This study aims to determine the effect of Digital Marketing, Local Wisdom and
Facilities on Tourist Interests in Visiting Tourism in Solok Regency. Theoretical framework …
Facilities on Tourist Interests in Visiting Tourism in Solok Regency. Theoretical framework …
Deposition of calcium in an in vitro model of human breast tumour calcification reveals functional role for ALP activity, altered expression of osteogenic genes and …
S O'Grady, MP Morgan - Scientific reports, 2019 - nature.com
Microcalcifications are vital mammographic indicators contributing to the early detection of
up to 50% of non-palpable tumours and may also be valuable as prognostic markers …
up to 50% of non-palpable tumours and may also be valuable as prognostic markers …
Cost effectiveness of breast cancer screening and prevention: a systematic review with a focus on risk-adapted strategies
N Mühlberger, G Sroczynski, A Gogollari… - The European Journal of …, 2021 - Springer
Objectives Benefit and cost effectiveness of breast cancer screening are still matters of
controversy. Risk-adapted strategies are proposed to improve its benefit-harm and cost …
controversy. Risk-adapted strategies are proposed to improve its benefit-harm and cost …
[HTML][HTML] Breast cancer: Epidemiology, risk factors and screening
H Xu, B Xu - Chinese Journal of Cancer Research, 2023 - ncbi.nlm.nih.gov
Breast cancer is a global health concern with a significant impact on the well-being of
women. Worldwide, the past several decades have witnessed changes in the incidence and …
women. Worldwide, the past several decades have witnessed changes in the incidence and …
Can breast self-examination and clinical breast examination along with increasing breast awareness facilitate earlier detection of breast cancer in populations with …
SM Albeshan, SZ Hossain, MG Mackey… - Clinical breast cancer, 2020 - Elsevier
Breast cancer is the most common form of cancer among women worldwide. Early detection
is central to improving disease outcomes. Three main screening methods–mammography …
is central to improving disease outcomes. Three main screening methods–mammography …
Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations
Background The clinical utility of machine-learning (ML) algorithms for breast cancer risk
prediction and screening practices is unknown. We compared classification of lifetime breast …
prediction and screening practices is unknown. We compared classification of lifetime breast …