Results 81 to 90 of about 1,990,403 (183)

Additional file 3 of Automated Breast Ultrasound (ABUS)-based radiomics nomogram: an individualized tool for predicting axillary lymph node tumor burden in patients with early breast cancer

, 2023
Additional file 3: Figure S1. The confusion matrix of Radiomics nomogram and US-reported ALN status in the training and test sets.
Chen, Yu, Xie, Yongwei, Li, Bo, Shao, Hua, Na, Ziyue, Wang, Qiucheng, Jing, Hui   +6 more
openaire   +1 more source

Evaluation of the FUSION-X-US-II prototype to combine automated breast ultrasound and tomosynthesis

, 2020
Objective!#!The FUSION-X-US-II prototype was developed to combine 3D automated breast ultrasound (ABUS) and digital breast tomosynthesis in a single device.
Riedel, Fabian, Hertel, Madeleine, Togawa, Riku, Fastner, Sarah, Schäfgen, Benedikt, Radicke, Marcus, Nees, Juliane, Stieber, Anne, Gomez, Christina, Heil, Joerg, Hennigs, André, Golatta, Michael, Juskic, Marija, von Au, Alexandra, Sohn, Christof, Harcos, Aba, Barr, Richard, Pfob, André, Sarah Fastner, Joerg Heil, André Hennigs, Richard Barr, André Pfob, Alexandra von Au, Christof Sohn, Aba Harcos, Anne Stieber, Marija Juskic, Juliane Nees, Marcus Radicke, Christina Gomez, Fabian Riedel, Riku Togawa, Benedikt Schäfgen, Michael Golatta, Madeleine Hertel   +35 more
core   +1 more source

Spectral Normalisation and Efficient Perceptual Conditional Generative Adversarial Networks for High‐Quality Medical Image Generation

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
We propose SNEP‐cGAN, a novel conditional generative framework designed to overcome medical data scarcity by integrating spectral normalisation and EfficientNet‐based perceptual loss for enhanced training stability. Validated on NIH Malaria and Breast Cancer Histology datasets, the model demonstrates superior textural fidelity and reduced mode collapse,
Md. Darun Nayeem, Md. Ikramul Hassan, Rehanuma Tabassum, Muhammad Aminur Rahaman, Md. Masudul Islam   +4 more
wiley   +1 more source

Additional file 2 of Automated Breast Ultrasound (ABUS)-based radiomics nomogram: an individualized tool for predicting axillary lymph node tumor burden in patients with early breast cancer

, 2023
Additional file 2: Table S1. The details of radiomic features.
Chen, Yu, Xie, Yongwei, Li, Bo, Shao, Hua, Na, Ziyue, Wang, Qiucheng, Jing, Hui   +6 more
openaire   +1 more source

Computer-Aided Multiview Tumor Detection for Automated Whole Breast Ultrasound

, 2017
Automated whole breast ultrasound (ABUS) has become a popular screening tool in recent years. To reduce the review time and misdetection from ABUS images by physicians, a computer-aided detection (CADe) system for ABUS images based on a multiview method ...
Lo, Chiao;Shen, Yi-Wei;Huang, Chiun-Sheng;Chang, Ruey-Feng, 黃俊升   +1 more
core   +1 more source

Establishing a global medical physics graduate clinical training and development program in Ghana: A model for global health international education and collaboration

Journal of Applied Clinical Medical Physics, Volume 26, Issue 12, December 2025.
Abstract Purpose The Global Medical Physics Training and Development Program (GMPTDP) is a novel initiative that provides United States (US)‐based graduate students in medical physics with structured, immersive clinical training in Ghana. Methods The five‐week program begins with a cultural and clinical orientation in the US, followed by 4 weeks of ...
Shannon E. O'Reilly, Stephen Avery, Lyna Dinh, Andrew Friberg, Ayoola Okuribido, Eric K. Addison, Stephen Inkoom, Alhassan Mohammed Baidoo, Samuel Nii Tagoe, Elsie Effah Kaufmann, Sonya Gwak, Megan L. Doherty, Edem Sosu, Beatrice Wiafe Addai, Francis Hasford   +14 more
wiley   +1 more source

Automatic Assessment of Nipple Position in Automated 3D Breast Ultrasound Images

, 2022
S.9-16Nipple position is an important basis for clinical analysis of breast images. It is used by clinicians to report on lesion localisation, and it is also considered as an anatomical landmark for image processing algorithms such as registration ...
Schwaab, J., Günther, M., Wang, L., Gubern-Merida, A.   +3 more
core  

A systematic review and meta-analysis comparing the diagnostic capability of automated breast ultrasound and contrast-enhanced ultrasound in breast cancer

Frontiers in Oncology
ObjectiveTo compare the diagnostic performance of automated breast ultrasound (ABUS) and contrast-enhanced ultrasound (CEUS) in breast cancer.MethodsPublished studies were collected by systematically searching the databases PubMed, Embase, Cochrane ...
Haoyu Zhang, Jingyi Hu, Rong Meng, Fangfang Liu, Fan Xu, Min Huang   +5 more
doaj   +1 more source

Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model

, 2022
S.4074-4084Purpose: Automated 3D breast ultrasound (ABUS) has been proposed as a complementary screening modality to mammography for early detection of breast cancers.
Platel, B., Manniesing, R., Zelst, J. van, Karssemeijer, N., Mann, R.M., Gubern-Mérida, A., Tan, T., Zhang, W., Borelli, C., Wang, L.   +9 more
core   +1 more source

Automated breast ultrasound in breast cancer screening of mammographically dense breasts: added values

The Egyptian Journal of Radiology and Nuclear Medicine
Background Full-field digital mammography (FFDM) is the primary screening method for breast cancer, yet the number of cancers that can be missed with mammography is considerable, notably in female with dense breast.
Walaa Gouda, Rabab Yasin, Mohamed Ibrahim Yasin, Suzan Omar   +3 more
doaj   +1 more source