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WHRIME: A weight-based recursive hierarchical RIME optimizer for breast cancer histopathology image segmentation
J **ng, AA Heidari, H Chen, H Zhao - Displays, 2024 - Elsevier
In medical image processing, multi-threshold image segmentation has been challenging, as
selecting appropriate thresholds is crucial for distinguishing different structures within an …
selecting appropriate thresholds is crucial for distinguishing different structures within an …
COVID-19 chest X-ray image classification in the presence of noisy labels
Abstract The Corona Virus Disease 2019 (COVID-19) has been declared a worldwide
pandemic, and a key method for diagnosing COVID-19 is chest X-ray imaging. The …
pandemic, and a key method for diagnosing COVID-19 is chest X-ray imaging. The …
Enhancing chest X-ray diagnosis with text-to-image generation: a data augmentation case study
In the field of Artificial Intelligence (AI) and Medicine, chest X-ray images are crucial for
diagnosing various diseases. However, training AI models presents challenges, particularly …
diagnosing various diseases. However, training AI models presents challenges, particularly …
Attention-based deep learning for tire defect detection: Fusing local and global features in an industrial case study
In tire manufacturing, quality inspections of tires are paramount due to the potential for
explosive failures in defective tires, especially during high-speed driving events like races …
explosive failures in defective tires, especially during high-speed driving events like races …
Exploring the boost of steaming with wine on Ligustri Lucidi Fructus in treating postmenopausal osteoporosis based on superior “multi-component structure” and iron …
J Jiang, B Zhao, J **ao, L Shi, W Shang, Y Shu, Z Zhao… - Phytomedicine, 2024 - Elsevier
Background Clinical studies indicated that postmenopausal osteoporosis (PMOP) often
accompanied by iron overload risk factor, which exacerbated bone metabolism disorders …
accompanied by iron overload risk factor, which exacerbated bone metabolism disorders …
[PDF][PDF] Transfer learning-based osteoporosis classification using simple radiographs
Osteoporosis is a condition that affects the entire skeletal system, resulting in a decreased
density of bone mass and the weakening of bone tissue's micro-architecture. This leads to …
density of bone mass and the weakening of bone tissue's micro-architecture. This leads to …
OsteoNet-A Framework for identifying Osteoporosis in Bone Radiograph Images Using Attention Based VGG Network
Diagnosing osteoporosis from X-ray images poses a significant challenge due to the visual
similarities between images from healthy subjects and patients. In this paper, we present a …
similarities between images from healthy subjects and patients. In this paper, we present a …
[PDF][PDF] Classification of Osteoporotic X-ray Images using Wavelet Texture Analysis and Machine Learning
SK KS, AS Areeckal - International Journal of Computing, 2025 - iiict.uob.edu.bh
Osteoporosis, a disorder defined by decreased bone mineral content and changes in bone
microarchitecture, poses a challenge for accurate classification using X-ray images. This …
microarchitecture, poses a challenge for accurate classification using X-ray images. This …
Bonevoyage: Navigating the depths of osteoporosis detection with a dual-core ensemble of cascaded ShuffleNet and neural networks
Background Osteoporosis (OP) is a condition that significantly decreases bone density and
strength, often remaining undetected until the occurrence of a fracture. Timely identification …
strength, often remaining undetected until the occurrence of a fracture. Timely identification …
Unsupervised Machine Learning for Osteoporosis Diagnosis Using Singh Index Clustering on Hip Radiographs
Osteoporosis, a prevalent condition among the aging population worldwide, is characterized
by diminished bone mass and altered bone structure, increasing susceptibility to fractures. It …
by diminished bone mass and altered bone structure, increasing susceptibility to fractures. It …