AIMC Topic: Ultrasonography, Mammary
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Artificial Intelligence for Breast US.
Journal of breast imaging
Feb 6, 2023
US is a widely available, commonly used, and indispensable imaging modality for breast evaluation. It is often the primary imaging modality for the detection and diagnosis of breast cancer in low-resource settings. In addition, it is frequently emplo...
Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound Images.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
Automatic lesion segmentation in breast ultrasound (BUS) images aids in the diagnosis of breast cancer, the most common type of cancer in women. Accurate lesion segmentation in ultrasound images is a challenging task due to speckle noise, artifacts, ...
MSF-GAN: Multi-Scale Fuzzy Generative Adversarial Network for Breast Ultrasound Image Segmentation.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Automatic breast ultrasound image (BUS) segmentation is still a challenging task due to poor image quality and inherent speckle noise. In this paper, we propose a novel multi-scale fuzzy generative adversarial network (MSF-GAN) for breast ultrasound ...
Added value of deep learning-based computer-aided diagnosis and shear wave elastography to b-mode ultrasound for evaluation of breast masses detected by screening ultrasound.
Medicine
Aug 6, 2021
Low specificity and operator dependency are the main problems of breast ultrasound (US) screening. We investigated the added value of deep learning-based computer-aided diagnosis (S-Detect) and shear wave elastography (SWE) to B-mode US for evaluatio...
Humans
Sensitivity and Specificity
Breast Neoplasms
Middle Aged
Prospective Studies
Republic of Korea
Female
Breast
Image Interpretation, Computer-Assisted
Elasticity Imaging Techniques
Early Detection of Cancer
Diagnosis, Differential
Ultrasonography, Mammary
Diagnosis, Computer-Assisted
Deep Learning
Automated Misspelling Detection and Correction in Persian Clinical Text.
Journal of digital imaging
Jun 1, 2020
Accurate electronic health records are important for clinical care, research, and patient safety assurance. Correction of misspelled words is required to ensure the correct interpretation of medical records. In the Persian language, the lack of autom...
[New Trends in Breast Imaging].
Therapeutische Umschau. Revue therapeutique
Jan 1, 2020
New Trends in Breast Imaging The examination of the breast, especially as a screening examination for breast cancer, has so far been carried out primarily by means of mammography and occasionally supplementary ultrasound. These check-ups have become...
Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN.
Ultrasonic imaging
Nov 1, 2019
Breast cancer has become the biggest threat to female health. Ultrasonic diagnosis of breast cancer based on artificial intelligence is basically a classification of benign and malignant tumors, which does not meet clinical demand. Besides, the curre...
Boundary-aware Semi-supervised Deep Learning for Breast Ultrasound Computer-Aided Diagnosis.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Breast ultrasound (US) is an effective imaging modality for breast cancer diagnosis. US computer-aided diagnosis (CAD) systems have been developed for decades and have employed either conventional handcrafted features or modern automatic deep-learned...
Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems.
Journal of digital imaging
Jun 1, 2019
Ultrasound (US) is a valuable imaging modality used to detect primary breast malignancy. However, radiologists have a limited ability to distinguish between benign and malignant lesions on US, leading to false-positive and false-negative results, whi...
New one-step model of breast tumor locating based on deep learning.
Journal of X-ray science and technology
Jan 1, 2019
BACKGROUND: Breast cancer has the highest cancer prevalence rate among the women worldwide. Early detection of breast cancer is crucial for successful treatment and reducing cancer mortality rate. However, tumor detection of breast ultrasound (US) im...
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