A comprehensive review on breast cancer detection, classification and segmentation using deep learning

B Abhisheka, SK Biswas, B Purkayastha - Archives of Computational …, 2023 - Springer
The incidence and mortality rate of Breast Cancer (BC) are global problems for women, with
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …

Radiogenomics: bridging the gap between imaging and genomics for precision oncology

W He, W Huang, L Zhang, X Wu, S Zhang… - MedComm, 2024 - Wiley Online Library
Genomics allows the tracing of origin and evolution of cancer at molecular scale and
underpin modern cancer diagnosis and treatment systems. Yet, molecular biomarker …

Lesion attention guided neural network for contrast-enhanced mammography-based biomarker status prediction in breast cancer

N Qian, W Jiang, X Wu, N Zhang, H Yu… - Computer Methods and …, 2024 - Elsevier
Background and objective Accurate identification of molecular biomarker statuses is crucial
in cancer diagnosis, treatment, and prognosis. Studies have demonstrated that medical …

Vision Transformers for Breast Cancer Human Epidermal Growth Factor Receptor 2 Expression Staging without Immunohistochemical Staining

G Ayana, E Lee, S Choe - The American Journal of Pathology, 2024 - Elsevier
Accurate staging of human epidermal growth factor receptor 2 (HER2) expression is vital for
evaluating breast cancer treatment efficacy. However, it typically involves costly and …

Multi-view radiomics feature fusion reveals distinct immuno-oncological characteristics and clinical prognoses in hepatocellular Carcinoma

Y Gu, H Huang, Q Tong, M Cao, W Ming, R Zhang… - Cancers, 2023 - mdpi.com
Simple Summary Hepatocellular carcinoma is a widespread cancer with complex molecular
heterogeneity. Compared with invasive tissue sampling, the radiomics framework shows …

Undifferentially expressed CXXC5 as a transcriptionally regulatory biomarker of breast cancer

X Li, X Lv, H Li, G Zhang, Y Long, K Li, Y Fan… - Advanced …, 2023 - Wiley Online Library
This work hypothesizes that some genes undergo radically changed transcription
regulations (TRs) in breast cancer (BC), but don't show differential expressions for unknown …

Identifying associations between DCE-MRI Radiomic features and expression heterogeneity of Hallmark pathways in breast Cancer: a Multi-center Radiogenomic …

W Ming, Y Zhu, F Li, Y Bai, W Gu, Y Liu, X Sun, X Liu… - Genes, 2022 - mdpi.com
Background: To investigate the relationship between dynamic contrast-enhanced magnetic
resonance imaging (DCE-MRI) radiomic features and the expression activity of hallmark …

Machine learning and new insights for breast cancer diagnosis

Y Guo, H Zhang, L Yuan, W Chen… - Journal of …, 2024 - journals.sagepub.com
Breast cancer (BC) is the most prominent form of cancer among females all over the world.
The current methods of BC detection include X-ray mammography, ultrasound, computed …

Privacy-Preserving Breast Cancer Classification: A Federated Transfer Learning Approach

G Dharani Devi, RV, J Jeyalakshmi - Journal of Imaging Informatics in …, 2024 - Springer
Breast cancer is deadly cancer causing a considerable number of fatalities among women in
worldwide. To enhance patient outcomes as well as survival rates, early and accurate …

[HTML][HTML] Privacy-Preserving Breast Cancer Classification: A Federated Transfer Learning Approach

S Selvakanmani, GD Devi, V Rekha… - Journal of Imaging …, 2024 - ncbi.nlm.nih.gov
Breast cancer is deadly cancer causing a considerable number of fatalities among women in
worldwide. To enhance patient outcomes as well as survival rates, early and accurate …