Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy
Objective To examine the accuracy of artificial intelligence (AI) for the detection of breast
cancer in mammography screening practice. Design Systematic review of test accuracy …
cancer in mammography screening practice. Design Systematic review of test accuracy …
Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …
of disruptive technical advances and impressive experimental results, notably in the field of …
Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically
detected late and at an inoperable stage. Early or incidental detection is associated with …
detected late and at an inoperable stage. Early or incidental detection is associated with …
[HTML][HTML] Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study
Background Artificial intelligence (AI) as an independent reader of screening mammograms
has shown promise, but there are few prospective studies. Our aim was to conduct a …
has shown promise, but there are few prospective studies. Our aim was to conduct a …
A novel deep-learning model for automatic detection and classification of breast cancer using the transfer-learning technique
Breast cancer (BC) is one of the primary causes of cancer death among women. Early
detection of BC allows patients to receive appropriate treatment, thus increasing the …
detection of BC allows patients to receive appropriate treatment, thus increasing the …
TTCNN: A breast cancer detection and classification towards computer-aided diagnosis using digital mammography in early stages
S Maqsood, R Damaševičius, R Maskeliūnas - Applied Sciences, 2022 - mdpi.com
Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …
disease and a major cause of death among women. Early and accurate diagnosis of breast …
Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence
AK Bonkhoff, C Grefkes - Brain, 2022 - academic.oup.com
Stroke ranks among the leading causes for morbidity and mortality worldwide. New and
continuously improving treatment options such as thrombolysis and thrombectomy have …
continuously improving treatment options such as thrombolysis and thrombectomy have …
Overview and countermeasures of cancer burden in China
Cancer is one of the leading causes of human death worldwide. Treatment of cancer
exhausts significant medical resources, and the morbidity and mortality caused by cancer is …
exhausts significant medical resources, and the morbidity and mortality caused by cancer is …
[HTML][HTML] Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review
The relatively recent reintroduction of deep learning has been a revolutionary force in the
interpretation of diagnostic imaging studies. However, the technology used to acquire those …
interpretation of diagnostic imaging studies. However, the technology used to acquire those …
Machine learning for workflow applications in screening mammography: systematic review and meta-analysis
Background Advances in computer processing and improvements in data availability have
led to the development of machine learning (ML) techniques for mammographic imaging …
led to the development of machine learning (ML) techniques for mammographic imaging …