Secure, privacy-preserving and federated machine learning in medical imaging
GA Kaissis, MR Makowski, D Rückert… - Nature Machine …, 2020 - nature.com
The broad application of artificial intelligence techniques in medicine is currently hindered
by limited dataset availability for algorithm training and validation, due to the absence of …
by limited dataset availability for algorithm training and validation, due to the absence of …
Multimodal data fusion for cancer biomarker discovery with deep learning
Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …
Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
Accurate identification of axillary lymph node (ALN) involvement in patients with early-stage
breast cancer is important for determining appropriate axillary treatment options and …
breast cancer is important for determining appropriate axillary treatment options and …
Biobanking in health care: evolution and future directions
L Coppola, A Cianflone, AM Grimaldi… - Journal of translational …, 2019 - Springer
Background The aim of the present review is to discuss how the promising field of
biobanking can support health care research strategies. As the concept has evolved over …
biobanking can support health care research strategies. As the concept has evolved over …
Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives
Although computer-aided diagnosis (CAD) is widely used in mammography, conventional
CAD programs that use prompts to indicate potential cancers on the mammograms have not …
CAD programs that use prompts to indicate potential cancers on the mammograms have not …
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine
Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …
understanding of cancer's biology and behavior in response to standard therapy. It also …
Harnessing non-destructive 3D pathology
High-throughput methods for slide-free three-dimensional (3D) pathological analyses of
whole biopsies and surgical specimens offer the promise of modernizing traditional …
whole biopsies and surgical specimens offer the promise of modernizing traditional …
Novel approaches to screening for breast cancer
Screening for breast cancer reduces breast cancer–related mortality and earlier detection
facilitates less aggressive treatment. Unfortunately, current screening modalities are …
facilitates less aggressive treatment. Unfortunately, current screening modalities are …
Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …