Artificial intelligence in breast ultrasonography
Jaeil Kim, Hye Jung Kim, Chanho Kim, Won Hwa Kim
Ultrasonography. 2021;40(2):183-190. Published online 2020 Nov 12 DOI: https://doi.org/10.14366/usg.20117
|
Citations to this article as recorded by
Quantitative ultrasound parameters from scattering and propagation may reduce the biopsy rate for breast tumor
Jiaqi Han, Pengfei Sun, Qizhen Sun, Zhun Xie, Lijun Xu, Xiangdong Hu, Jianguo Ma
Ultrasonics.2024; 138: 107233. CrossRef Diagnostic performance of deep learning in ultrasound diagnosis of breast cancer: a systematic review
Qing Dan, Ziting Xu, Hannah Burrows, Jennifer Bissram, Jeffrey S. A. Stringer, Yingjia Li
npj Precision Oncology.2024;[Epub] CrossRef Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations
Hee Jeong Kim, Hak Hee Kim, Ki Hwan Kim, Ji Sung Lee, Woo Jung Choi, Eun Young Chae, Hee Jung Shin, Joo Hee Cha, Woo Hyun Shim
European Radiology.2024; 34(10): 6320. CrossRef A Review of Artificial Intelligence in Breast Imaging
Dhurgham Al-Karawi, Shakir Al-Zaidi, Khaled Ahmad Helael, Naser Obeidat, Abdulmajeed Mounzer Mouhsen, Tarek Ajam, Bashar A. Alshalabi, Mohamed Salman, Mohammed H. Ahmed
Tomography.2024; 10(5): 705. CrossRef Classification of AO/OTA 31A/B femur fractures in X-ray images using YOLOv8 and advanced data augmentation techniques
Giorgia Marullo, Luca Ulrich, Francesca Giada Antonaci, Andrea Audisio, Alessandro Aprato, Alessandro Massè, Enrico Vezzetti
Bone Reports.2024; 22: 101801. CrossRef Convolutional neural network based on automatic segmentation of peritumoral shear-wave elastography images for predicting breast cancer
Li Xie, Zhen Liu, Chong Pei, Xiao Liu, Ya-yun Cui, Nian-an He, Lei Hu
Frontiers in Oncology.2023;[Epub] CrossRef Deep Learning on Ultrasound Imaging for Breast Cancer Diagnosis and Treatment: Current Applications and Future Perspectives
Wang, BS Changyan, Chen, MS Haobo, Liu, BS Jieyi, Li, BS Changchun, Jiao, BS Weiwei, Guo, BS Qihui, Zhang, PhD Qi
ADVANCED ULTRASOUND IN DIAGNOSIS AND THERAPY.2023; 7(2): 91. CrossRef Artificial intelligence - based ultrasound elastography for disease evaluation - a narrative review
Xian-Ya Zhang, Qi Wei, Ge-Ge Wu, Qi Tang, Xiao-Fang Pan, Gong-Quan Chen, Di Zhang, Christoph F. Dietrich, Xin-Wu Cui
Frontiers in Oncology.2023;[Epub] CrossRef Third International Consensus Conference on lesions of uncertain malignant potential in the breast (B3 lesions)
Constanze Elfgen, Cornelia Leo, Rahel A. Kubik-Huch, Simone Muenst, Noemi Schmidt, Cecily Quinn, Sorcha McNally, Paul J. van Diest, Ritse M Mann, Zsuzsanna Bago-Horvath, Maria Bernathova, Peter Regitnig, Michael Fuchsjäger, Daniela Schwegler-Guggemos, Mar
Virchows Archiv.2023; 483(1): 5. CrossRef Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review
Belinda Lokaj, Marie-Thérèse Pugliese, Karen Kinkel, Christian Lovis, Jérôme Schmid
European Radiology.2023;[Epub] CrossRef Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment
Michal Byra, Ziemowit Klimonda, Eleonora Kruglenko, Barbara Gambin
Ultrasonics.2022; 122: 106689. CrossRef Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images
Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan
Biomedical Signal Processing and Control.2022; 75: 103553. CrossRef Advanced Tumor Imaging Approaches in Human Tumors
Samuel Nussbaum, Mira Shoukry, Mohammed Ali Ashary, Ali Abbaszadeh Kasbi, Mizba Baksh, Emmanuel Gabriel
Cancers.2022; 14(6): 1549. CrossRef Deep learning in breast imaging
Arka Bhowmik, Sarah Eskreis-Winkler
BJR|Open.2022;[Epub] CrossRef Breast-specific Gamma Imaging (BSGI) as a Complementary Imaging Tool for BI-RADS 0 and 4a Lesions on Mammography or Ultrasonography
Rae Rim Ryu, Young Joong Kim, Jae Young Seo, Keum Won Kim, Jin Suk Kim
Iranian Journal of Radiology.2022;[Epub] CrossRef Deep learning for emergency ascites diagnosis using ultrasonography images
Zhanye Lin, Zhengyi Li, Peng Cao, Yingying Lin, Fengting Liang, Jiajun He, Libing Huang
Journal of Applied Clinical Medical Physics.2022;[Epub] CrossRef Ethics of AI in Radiology: A Review of Ethical and Societal Implications
Melanie Goisauf, Mónica Cano Abadía
Frontiers in Big Data.2022;[Epub] CrossRef Evolution of research trends in artificial intelligence for breast cancer diagnosis and prognosis over the past two decades: A bibliometric analysis
Asif Hassan Syed, Tabrej Khan
Frontiers in Oncology.2022;[Epub] CrossRef Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Ahmed M. Ali
Information Sciences.2022; 615: 238. CrossRef Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts
Hessam Hamyoon, Wai Yee Chan, Afshin Mohammadi, Taha Yusuf Kuzan, Mohammad Mirza-Aghazadeh-Attari, Wai Ling Leong, Kübra Murzoglu Altintoprak, Anushya Vijayananthan, Kartini Rahmat, Nazimah Ab Mumin, Sook Sam Leong, Sajjad Ejtehadifar, Fariborz Faeghi, Ja
European Journal of Radiology.2022; 157: 110591. CrossRef Artificial Intelligence (AI) in Breast Imaging: A Scientometric Umbrella Review
Xiao Jian Tan, Wai Loon Cheor, Li Li Lim, Khairul Shakir Ab Rahman, Ikmal Hisyam Bakrin
Diagnostics.2022; 12(12): 3111. CrossRef Artificial intelligence for ultrasonography: unique opportunities and challenges
Seong Ho Park
Ultrasonography.2021; 40(1): 3. CrossRef Neural Network Pattern Recognition of Ultrasound Image Gray Scale Intensity Histograms of Breast Lesions to Differentiate Between Benign and Malignant Lesions: Analytical Study
Arivan Ramachandran, Shivabalan Kathavarayan Ramu
JMIR Biomedical Engineering.2021; 6(2): e23808. CrossRef Artificial Intelligence in Medical Imaging of the Breast
Yu-Meng Lei, Miao Yin, Mei-Hui Yu, Jing Yu, Shu-E Zeng, Wen-Zhi Lv, Jun Li, Hua-Rong Ye, Xin-Wu Cui, Christoph F. Dietrich
Frontiers in Oncology.2021;[Epub] CrossRef Using Transfer Learning Method to Develop an Artificial Intelligence Assisted Triaging for Endotracheal Tube Position on Chest X-ray
Kuo-Ching Yuan, Lung-Wen Tsai, Kevin Lai, Sing-Teck Teng, Yu-Sheng Lo, Syu-Jyun Peng
Diagnostics.2021; 11(10): 1844. CrossRef Weakly-supervised deep learning for ultrasound diagnosis of breast cancer
Jaeil Kim, Hye Jung Kim, Chanho Kim, Jin Hwa Lee, Keum Won Kim, Young Mi Park, Hye Won Kim, So Yeon Ki, You Me Kim, Won Hwa Kim
Scientific Reports.2021;[Epub] CrossRef
|