USG :: Ultrasonography

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

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

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

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

Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment

Michal Byra, Ziemowit Klimonda, Eleonora Kruglenko, Barbara Gambin

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

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

Evolution of research trends in artificial intelligence for breast cancer diagnosis and prognosis over the past two decades: A bibliometric analysis

Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey

Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Ahmed M. Ali

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

Artificial intelligence for ultrasonography: unique opportunities and challenges

Neural Network Pattern Recognition of Ultrasound Image Gray Scale Intensity Histograms of Breast Lesions to Differentiate Between Benign and Malignant Lesions: Analytical Study

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

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

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