MsGoF: Breast lesion classification on ultrasound images by multi-scale gradational-order fusion framework
S Zhong, C Tu, X Dong, Q Feng, W Chen… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective: Predicting the malignant potential of breast lesions
based on breast ultrasound (BUS) images is a crucial component of computer-aided …
based on breast ultrasound (BUS) images is a crucial component of computer-aided …
[HTML][HTML] Augmented reality (AR) and fracture mapping model on middle-aged femoral neck fracture: A proof-of-concept towards interactive visualization
YQ Wang, PF Li, ZH Xu, YQ Zhang, QN Lee… - Medicine in Novel …, 2022 - Elsevier
A thorough understanding of the fracture characteristics can assist the decision-making
process for surgery. This study aimed to characterize the femoral neck fractures among …
process for surgery. This study aimed to characterize the femoral neck fractures among …
Convolutional neural network based on automatic segmentation of peritumoral shear-wave elastography images for predicting breast cancer
L Xie, Z Liu, C Pei, X Liu, Y Cui, N He, L Hu - Frontiers in Oncology, 2023 - frontiersin.org
Objective Our aim was to develop dual-modal CNN models based on combining
conventional ultrasound (US) images and shear-wave elastography (SWE) of peritumoral …
conventional ultrasound (US) images and shear-wave elastography (SWE) of peritumoral …
Improving the efficiency of oncological diagnosis of the breast based on the combined use of simulation modeling and artificial intelligence algorithms
AV Khoperskov, MV Polyakov - Algorithms, 2022 - mdpi.com
This work includes a brief overview of the applications of the powerful and easy-to-perform
method of microwave radiometry (MWR) for the diagnosis of various diseases. The main …
method of microwave radiometry (MWR) for the diagnosis of various diseases. The main …
Effective deep learning classification for kidney stone using axial computed tomography (CT) images
Ö Sabuncu, B Bilgehan, E Kneebone… - Biomedical Engineering …, 2023 - degruyter.com
Introduction Stone formation in the kidneys is a common disease, and the high rate of
recurrence and morbidity of the disease worries all patients with kidney stones. There are …
recurrence and morbidity of the disease worries all patients with kidney stones. There are …
Evaluation of computer-aided detection (CAD) in screening automated breast ultrasound based on characteristics of CAD marks and false-positive marks
J Lee, BJ Kang, SH Kim, GE Park - Diagnostics, 2022 - mdpi.com
The present study evaluated the effectiveness of computer-aided detection (CAD) system in
screening automated breast ultrasound (ABUS) and analyzed the characteristics of CAD …
screening automated breast ultrasound (ABUS) and analyzed the characteristics of CAD …
An edge-based selection method for improving regions-of-interest localizations obtained using multiple deep learning object-detection models in breast ultrasound …
Computer-aided diagnosis (CAD) systems can be used to process breast ultrasound (BUS)
images with the goal of enhancing the capability of diagnosing breast cancer. Many CAD …
images with the goal of enhancing the capability of diagnosing breast cancer. Many CAD …
Prediction of clinical response to neoadjuvant therapy in advanced breast cancer by baseline B-mode ultrasound, shear-wave elastography, and pathological …
S Wang, W Wen, H Zhao, J Liu, X Wan, Z Lan… - Frontiers in …, 2023 - frontiersin.org
Background Neoadjuvant therapy (NAT) is the preferred treatment for advanced breast
cancer nowadays. The early prediction of its responses is important for personalized …
cancer nowadays. The early prediction of its responses is important for personalized …
AI in breast imaging: Applications, challenges, and future research
P Oza - … intelligence and modelling techniques for disease …, 2024 - Elsevier
Breast cancer is one of the leading causes of mortality for women all over the world. This
illness significantly threatens the physical and emotional health of women. Breast cancer …
illness significantly threatens the physical and emotional health of women. Breast cancer …
U structured network with three encoding paths for breast tumor segmentation
H Zhang, Q Ma, Y Chen - Scientific Reports, 2023 - nature.com
Breast ultrasound segmentation remains challenging because of the blurred boundaries,
irregular shapes, and the presence of shadowing and speckle noise. The majority of …
irregular shapes, and the presence of shadowing and speckle noise. The majority of …