Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application

Y Meng, Y Yang, M Hu, Z Zhang, X Zhou - Seminars in Cancer Biology, 2023 - Elsevier
Radiomics is the extraction of predefined mathematic features from medical images for
predicting variables of clinical interest. Recent research has demonstrated that radiomics …

[HTML][HTML] Adaptive Aquila Optimizer with explainable artificial intelligence-enabled cancer diagnosis on medical imaging

S Alkhalaf, F Alturise, AA Bahaddad, BME Elnaim… - Cancers, 2023 - mdpi.com
Simple Summary For automated cancer diagnosis on medical imaging, explainable artificial
intelligence technology uses advanced image analysis methods like deep learning to make …

An Attention-Based Swin U-Net-Based Segmentation and Hybrid Deep Learning Based Diabetic Retinopathy Classification Framework Using Fundus Images

A Khaparde, S Chapadgaonkar, M Kowdiki… - Sensing and …, 2023 - Springer
Diabetes mellitus frequently occurs with diabetic retinopathy (DR), which results in lesions
mostly in the retinas that damages the vision. Earlier DR identification and treatment can …

Group Teaching Optimization with Deep Learning-Driven Osteosarcoma Detection using Histopathological Images

S Alsubai, AK Dutta, F Alghayadh… - IEEE …, 2024 - ieeexplore.ieee.org
Osteosarcoma is the most normal kind of cancer that arises in bones, which appears on the
surface to resemble earlier types of bone cells that assist in forging new bone tissues, but …

[HTML][HTML] Three-dimensional reconstruction system in pulmonary broncho vascular surgery using AI

S Kadry - Ebiomedicine, 2023 - thelancet.com
Phantoms or imaging phantoms are scientific devices widely used in medical imaging to test
and optimize imaging devices without exposing humans to radiation. 1 A phantom based on …

[HTML][HTML] Detection of Cervical Foraminal Stenosis from Oblique Radiograph Using Convolutional Neural Network Algorithm

J Kim, JJ Yang, J Song, SW Jo, YH Kim, J Park… - Yonsei Medical …, 2024 - eymj.org
Purpose This study was conducted to develop a convolutional neural network (CNN)
algorithm that can diagnose cervical foraminal stenosis using oblique radiographs and …