Comprehensive assessment of MRI-based artificial intelligence frameworks performance in the detection, segmentation, and classification of prostate lesions using …
LS Ramacciotti, JS Hershenhouse… - Urologic …, 2024 - urologic.theclinics.com
Prostate cancer (PCa) detection via MRI exhibits both intrareader and interreader 1, 2
variability. The adoption of Artificial Intelligence (AI)–powered automated or semiautomated …
variability. The adoption of Artificial Intelligence (AI)–powered automated or semiautomated …
Non-contrasted computed tomography (NCCT) based chronic thromboembolic pulmonary hypertension (CTEPH) automatic diagnosis using cascaded network with …
M Zhao, L Song, J Zhu, T Zhou, Y Zhang… - Physics in Medicine …, 2024 - iopscience.iop.org
Objective. The diagnosis of chronic thromboembolic pulmonary hypertension (CTEPH) is
challenging due to nonspecific early symptoms, complex diagnostic processes, and small …
challenging due to nonspecific early symptoms, complex diagnostic processes, and small …
[HTML][HTML] Automatic detection of breast lesions in automated 3D breast ultrasound with cross-organ transfer learning
BAO Lingyun, Z HUANG, LIN Zehui, SUN Yue… - Virtual Reality & …, 2024 - Elsevier
Background Deep convolutional neural networks have garnered considerable attention in
numerous machine learning applications, particularly in visual recognition tasks such as …
numerous machine learning applications, particularly in visual recognition tasks such as …
RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representation from X-Ray Images
Purpose: Self-supervised learning has been gaining attention in the medical field for its
potential to improve computer-aided diagnosis. One popular method of self-supervised …
potential to improve computer-aided diagnosis. One popular method of self-supervised …
Volumetric Attention Mechanism-Based Deep Learning for Breast Cancer Diagnosis in Digital Breast Tomosynthesis
OO Oladimeji, I McLoughlin, S Unnikrishnan - International Congress on …, 2024 - Springer
Breast cancer is the leading cause of cancer-related deaths among females. In clinical
practice, digital breast tomosynthesis (DBT), Automated Breast Ultrasound, and advanced …
practice, digital breast tomosynthesis (DBT), Automated Breast Ultrasound, and advanced …
Deep Learning for Breast Cancer Diagnosis in Digital Breast Tomosynthesis
OO Oladimeji, I McLoughlin - Proceedings of Ninth International … - books.google.com
Breast cancer is the leading cause of cancer-related deaths among females. In clinical
practice, digital breast tomosynthesis (DBT), Automated Breast Ultrasound, and advanced …
practice, digital breast tomosynthesis (DBT), Automated Breast Ultrasound, and advanced …
[PDF][PDF] Diagnosis of COVID-19 from 3D Medical Images using Deep Learning Approaches
Coronavirus, which started in China in 2019, has affected the whole world. The widespread
impact of this virus worldwide has been referred to as a pandemic and has resulted in the …
impact of this virus worldwide has been referred to as a pandemic and has resulted in the …