Results 31 to 40 of about 1,961,287 (207)

Automated robotic breast ultrasound acquisition using ultrasound feedback

2020 IEEE International Conference on Robotics and Automation (ICRA), 2020
Current challenges in automated robotic breast ultrasound (US) acquisitions include keeping acoustic coupling between the breast and the US probe, minimizing tissue deformations and safety. In this paper, we present how an autonomous 3D breast US acquisition can be performed utilizing a 7DOF robot equipped with a linear US transducer. Robotic 3D breast
Marcel K. Welleweerd, Antonius Gerardus de Groot, S. O. H. de Looijer, Francoise J. Siepel, Stefano Stramigioli   +4 more
openaire   +2 more sources

Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods [PDF]

, 2012
Automated and high performance carotid intima-media thickness (IMT) measurement is gaining increasing importance in clinical practice to assess the cardiovascular risk of patients. In this paper, we compare four fully automated IMT measurement techniques
Jasjit, S., Ho SC, Saba, Luca, Suzanne C. Ho, Ledda, Giuseppe, Rajendra Acharya, U., Guang Zeng, Acharya UR, Sin Yee Stella Ho, Suri JS, U. Rajendra Acharya, Luca Saba, Ho SY, Jasjit S. Suri, Giuseppe Ledda, MEIBURGER, KRISTEN MARIKO, Andrew Nicolaides, Ledda G, Meiburger KM, Suzanne, C., Molinari, Filippo, Anil, T., Ahuja AT, Kristen, M., Zeng G, Anil T. Ahuja, Molinari F, Nicolaides A   +27 more
core   +1 more source

Automated breast ultrasound (ABUS) as a screening tool: initial experience

The Egyptian Journal of Radiology and Nuclear Medicine, 2019
Background Breast cancer is a major health problem, being the most common cancer in women. Early detection of breast cancer aims to the reduction of mortality and morbidity rates.
Amera Abd Elsalam Mostafa, Mohamed Adel Eltomey, Ashraf Mohammed Elaggan, Amel A. Hashish   +3 more
doaj   +1 more source

Deep Learning-based Multi-stage segmentation method using ultrasound images for breast cancer diagnosis

Journal of King Saud University: Computer and Information Sciences, 2022
Globally, breast cancer occurs frequently in women and has the highest mortality rate. Owing to the increased need for a rapid and reliable initial diagnosis of breast cancer, several breast tumor segmentation methods based on ultrasound images have ...
Se Woon Cho, Na Rae Baek, Kang Ryoung Park   +2 more
doaj   +1 more source

Grayscale Color Mapping with the Mathematical Analysis of an Ultrasound Image in the Differential Diagnosis of Cystic and Solid Breast Masses

Вестник рентгенологии и радиологии, 2020
Objective. Atypical breast cysts are often quite a serious problem in noninvasive ultrasound differential diagnosis. To develop a system for automated analysis of grayscale ultrasound images, which on the principles of mathematical processing would make ...
D. V. Pasynkov, I. A. Egoshin, A. A. Kolchev, I. V. Klyushkin, O. O. Pasynkova   +4 more
doaj   +1 more source

Automated Breast Lesion Segmentation in Ultrasound Images

CoRR, 2016
The main objective of this project is to segment different breast ultrasound images to find out lesion area by discarding the low contrast regions as well as the inherent speckle noise. The proposed method consists of three stages (removing noise, segmentation, classification) in order to extract the correct lesion.
Ibrahim Sadek 0002, Mohamed Elawady, Viktor Stefanovski   +2 more
openaire   +3 more sources

Multi-Dimensional Tumor Detection in Automated Whole Breast Ultrasound Using Topographic Watershed

, 2017
Automated whole breast ultrasound (ABUS) is becoming a popular screening modality for whole breast examination. Compared to conventional handheld ultrasound, ABUS achieves operator-independent and is feasible for mass screening.
Lo, Chung-Ming;Chen, Rong-Tai;Chang, Yeun-Chung;Yang, Ya-Wen;Hung, Ming-Jen;Huang, Chiun-Sheng;Chang, Ruey-Feng, 張允中;楊雅雯;楊雅雯;黃俊升   +1 more
core   +1 more source

Computer-Aided Tumor Detection Based on Multi-Scale Blob Detection Algorithm in Automated Breast Ultrasound Images

, 2014
Automated whole breast ultrasound (ABUS) is an emerging screening tool for detecting breast abnormalities. In this study, a computer-aided detection (CADe) system based on multi-scale blob detection was developed for analyzing ABUS images.
Moon, Woo Kyung;Shen, Yi-Wei;Bae, Min Sun;Huang, Chiun-Sheng;Chen, Jeon-Hor;Chang, Ruey-Feng, 黃俊升   +1 more
core   +1 more source

Speckle reduction for automated breast ultrasound a comparison of three filtering methods

, 2022
S.390-394This paper compares filtering methods for automated breast ultrasound images. The Perona-Malik diffusion filter, the diffusion stick filter and a simple median filter are evaluated as preprocessing methods for segmentation and characterization ...
Zoehrer, F., Hahn, H., Drexl, J.
core   +1 more source

Evaluation of Computer-Aided Detection (CAD) in Screening Automated Breast Ultrasound Based on Characteristics of CAD Marks and False-Positive Marks

Diagnostics, 2022
The present study evaluated the effectiveness of computer-aided detection (CAD) system in screening automated breast ultrasound (ABUS) and analyzed the characteristics of CAD marks and the causes of false-positive marks.
Jeongmin Lee, Bong Joo Kang, Sung Hun Kim, Ga Eun Park   +3 more
doaj   +1 more source