[Retracted] Global Increase in Breast Cancer Incidence: Risk Factors and Preventive Measures

D Kashyap, D Pal, R Sharma, VK Garg… - BioMed research …, 2022 - Wiley Online Library
Breast cancer is a global cause for concern owing to its high incidence around the world.
The alarming increase in breast cancer cases emphasizes the management of disease at …

Awareness and current knowledge of breast cancer

M Akram, M Iqbal, M Daniyal, AU Khan - Biological research, 2017 - Springer
Breast cancer remains a worldwide public health dilemma and is currently the most common
tumour in the globe. Awareness of breast cancer, public attentiveness, and advancement in …

A review of prognostic and predictive biomarkers in breast cancer

E Tarighati, H Keivan, H Mahani - Clinical and experimental medicine, 2023 - Springer
Breast cancer (BC) is a common cancer all over the world that affects women. BC is one of
the leading causes of cancer mortality in women, which today has decreased with the …

Advances in the prevention and treatment of obesity-driven effects in breast cancers

K Chen, J Zhang, NM Beeraka, C Tang… - Frontiers in …, 2022 - frontiersin.org
Obesity and associated chronic inflammation were shown to facilitate breast cancer (BC)
growth and metastasis. Leptin, adiponectin, estrogen, and several pro-inflammatory …

A survey on incorporating domain knowledge into deep learning for medical image analysis

X Xie, J Niu, X Liu, Z Chen, S Tang, S Yu - Medical Image Analysis, 2021 - Elsevier
Although deep learning models like CNNs have achieved great success in medical image
analysis, the small size of medical datasets remains a major bottleneck in this area. To …

Lipid polymer hybrid nanoparticles: a custom-tailored next-generation approach for cancer therapeutics

KR Gajbhiye, R Salve, M Narwade, A Sheikh… - Molecular Cancer, 2023 - Springer
Lipid-based polymeric nanoparticles are the highly popular carrier systems for cancer drug
therapy. But presently, detailed investigations have revealed their flaws as drug delivery …

Nanoaggregate probe for breast cancer metastasis through multispectral optoacoustic tomography and aggregation‐induced NIR‐I/II fluorescence imaging

J Ouyang, L Sun, Z Zeng, C Zeng, F Zeng… - Angewandte …, 2020 - Wiley Online Library
An activatable nanoprobe for imaging breast cancer metastases through near infrared‐I
(NIR‐I)/NIR‐II fluorescence imaging and multispectral optoacoustic tomography (MSOT) …

Breast tumor classification using an ensemble machine learning method

AS Assiri, S Nazir, SA Velastin - Journal of Imaging, 2020 - mdpi.com
Breast cancer is the most common cause of death for women worldwide. Thus, the ability of
artificial intelligence systems to detect possible breast cancer is very important. In this paper …

Breast cancer mammograms classification using deep neural network and entropy-controlled whale optimization algorithm

S Zahoor, U Shoaib, IU Lali - Diagnostics, 2022 - mdpi.com
Breast cancer has affected many women worldwide. To perform detection and classification
of breast cancer many computer-aided diagnosis (CAD) systems have been established …

Multi-modal advanced deep learning architectures for breast cancer survival prediction

N Arya, S Saha - Knowledge-Based Systems, 2021 - Elsevier
Breast cancer is the most frequently occurring cancer and has compelling contributions to
increasing mortality rates among women. The manual prognosis and diagnosis of this …