Precision treatment in advanced hepatocellular carcinoma

X Yang, C Yang, S Zhang, H Geng, AX Zhu… - Cancer Cell, 2024 - cell.com
The past decade has witnessed significant advances in the systemic treatment of advanced
hepatocellular carcinoma (HCC). Nevertheless, the newly developed treatment strategies …

[HTML][HTML] Artificial intelligence in breast cancer diagnosis and personalized medicine

JS Ahn, S Shin, SA Yang, EK Park, KH Kim… - Journal of Breast …, 2023 - ncbi.nlm.nih.gov
Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early
and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise …

Breast cancer prognosis through the use of multi-modal classifiers: current state of the art and the way forward

A Mathur, N Arya, K Pasupa, S Saha… - Briefings in …, 2024 - academic.oup.com
We present a survey of the current state-of-the-art in breast cancer detection and prognosis.
We analyze the evolution of Artificial Intelligence-based approaches from using just uni …

Characterization of breast tumors from MR Images using radiomics and machine learning approaches

K Faraz, G Dauce, A Bouhamama, B Leporq… - Journal of Personalized …, 2023 - mdpi.com
Determining histological subtypes, such as invasive ductal and invasive lobular carcinomas
(IDCs and ILCs) and immunohistochemical markers, such as estrogen response (ER) …

A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification

FZ Nakach, A Idri, E Goceri - Artificial Intelligence Review, 2024 - Springer
In breast cancer research, diverse data types and formats, such as radiological images,
clinical records, histological data, and expression analysis, are employed. Given the intricate …

Ultrasound-based radiomics model for predicting molecular biomarkers in breast cancer

R Xu, T You, C Liu, Q Lin, Q Guo, G Zhong, L Liu… - Frontiers in …, 2023 - frontiersin.org
Background Breast cancer (BC) is the most common cancer in women and is highly
heterogeneous. BC can be classified into four molecular subtypes based on the status of …

[HTML][HTML] IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data

T Zhang, T Tan, L Han, X Wang, Y Gao, J van Dijk… - Information …, 2024 - Elsevier
Magnetic resonance imaging (MRI) is highly sensitive for lesion detection. Sequences
obtained with different settings can capture specific characteristics of lesions. Such multi …

[HTML][HTML] Imaging phenotype evaluation from digital breast tomosynthesis data: A preliminary study

A Isosalo, SI Inkinen, L Prostredná, H Heino… - Computers in Biology …, 2024 - Elsevier
Background: Digital breast tomosynthesis (DBT) has been widely adopted as a
supplemental imaging modality for diagnostic evaluation of breast cancer and confirmation …

Systematic comparison of deep-learning based fusion strategies for multi-modal ultrasound in diagnosis of liver cancer

W Li, MX Lin, XX Lin, HT Hu, YC Wang, SM Ruan… - Neurocomputing, 2024 - Elsevier
For the diagnosis of liver cancer, conventional brightness mode (B-mode) can only provide
morphological information. Multi-modal ultrasound, including shear-wave elastography …

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 …