[HTML][HTML] Application of deep learning in breast cancer imaging
This review gives an overview of the current state of deep learning research in breast cancer
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …
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 …
Nuclear medicine and artificial intelligence: best practices for algorithm development
The nuclear medicine field has seen a rapid expansion of academic and commercial interest
in developing artificial intelligence (AI) algorithms. Users and developers can avoid some of …
in developing artificial intelligence (AI) algorithms. Users and developers can avoid some of …
PET-derived radiomics and artificial intelligence in breast cancer: a systematic review
L Urso, L Manco, A Castello, L Evangelista… - International Journal of …, 2022 - mdpi.com
Breast cancer (BC) is a heterogeneous malignancy that still represents the second cause of
cancer-related death among women worldwide. Due to the heterogeneity of BC, the correct …
cancer-related death among women worldwide. Due to the heterogeneity of BC, the correct …
Simultaneous 18F-FDG PET/MRI radiomics and machine learning analysis of the primary breast tumor for the preoperative prediction of axillary lymph node status in …
Simple Summary A Machine Learning-based radiomics approach applied to hybrid 18F-
FDG PET/MRI might predict axillary lymph node involvement in breast cancer based on the …
FDG PET/MRI might predict axillary lymph node involvement in breast cancer based on the …
Artificial intelligence for nuclear medicine in oncology
As in all other medical fields, artificial intelligence (AI) is increasingly being used in nuclear
medicine for oncology. There are many articles that discuss AI from the viewpoint of nuclear …
medicine for oncology. There are many articles that discuss AI from the viewpoint of nuclear …
Artificial intelligence in breast imaging: potentials and challenges
J Li, D Sheng, J Chen, C You, S Liu… - Physics in Medicine & …, 2023 - iopscience.iop.org
Breast cancer, which is the most common type of malignant tumor among humans, is a
leading cause of death in females. Standard treatment strategies, including neoadjuvant …
leading cause of death in females. Standard treatment strategies, including neoadjuvant …
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor
J Nakagawa, N Fujima, K Hirata, M Tang, S Tsuneta… - Cancer Imaging, 2022 - Springer
Background In nasal or sinonasal tumors, orbital invasion beyond periorbita by the tumor is
one of the important criteria in the selection of the surgical procedure. We investigated the …
one of the important criteria in the selection of the surgical procedure. We investigated the …
State-of-the-art of breast cancer diagnosis in medical images via convolutional neural networks (cnns)
Early detection of breast cancer is crucial for a better prognosis. Various studies have been
conducted where tumor lesions are detected and localized on images. This is a narrative …
conducted where tumor lesions are detected and localized on images. This is a narrative …
[HTML][HTML] Intraoperative pathologically-calibrated diagnosis of lymph nodes involved by breast cancer cells based on electrical impedance spectroscopy; a prospective …
Background Nodal status evaluation is a crucial step in determining prognostic factors and
managing treatment strategies for breast cancer patients. Preoperative (CNB), intraoperative …
managing treatment strategies for breast cancer patients. Preoperative (CNB), intraoperative …