Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images

Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning

(2020) Yi Wang et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Fully automated lesion segmentation and visualization in automated whole breast ultrasound (ABUS) images

(2020) Chia-Yen Lee et al.   Quantitative Imaging in Medicine and Surgery

Self-co-attention neural network for anatomy segmentation in whole breast ultrasound

(2020) Baiying Lei et al.   MEDICAL IMAGE ANALYSIS

Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets

(2020) Jie Xing et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Artificial intelligence in breast imaging

(2019) E.P.V. Le et al.   CLINICAL RADIOLOGY

Digital Mammography versus Digital Mammography Plus Tomosynthesis in Breast Cancer Screening: The Oslo Tomosynthesis Screening Trial

(2019) Per Skaane et al.   RADIOLOGY

Three-dimensional automated breast ultrasound: Technical aspects and first results

(2019) A. Vourtsis   Diagnostic and Interventional Imaging

Exploring uncertainty measures in deep networks for Multiple Sclerosis lesion detection and segmentation

(2019) Tanya Nair et al.   MEDICAL IMAGE ANALYSIS

Data Augmentation for Brain-Tumor Segmentation: A Review

(2019) Jakub Nalepa et al.   Frontiers in Computational Neuroscience

Mass Segmentation in Automated 3-D Breast Ultrasound Using Adaptive Region Growing and Supervised Edge-Based Deformable Model

(2018) E. Kozegar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder–decoder network

(2018) Baiying Lei et al.   NEUROCOMPUTING

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Automated breast ultrasound: basic principles and emerging clinical applications

(2017) Martina Zanotel et al.   Radiologia Medica

Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers

(2016) Maryellen L. Giger et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Time to Surgery and Breast Cancer Survival in the United States

(2016) Richard J. Bleicher et al.   JAMA Oncology

Screening Breast Ultrasound: Past, Present, and Future

(2015) Rachel F. Brem et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Ultrasound RF Time Series for Classification of Breast Lesions

(2015) Nishant Uniyal et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Improving classification performance of breast lesions on ultrasonography

(2015) Wilfrido Gómez Flores et al.   PATTERN RECOGNITION

Computer-aided classification of breast masses using speckle features of automated breast ultrasound images

(2012) Woo Kyung Moon et al.   MEDICAL PHYSICS

Computer-Aided Diagnosis for the Classification of Breast Masses in Automated Whole Breast Ultrasound Images

(2011) Woo Kyung Moon et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

ACCOMP: Augmented cell competition algorithm for breast lesion demarcation in sonography

(2010) Jie-Zhi Cheng et al.   MEDICAL PHYSICS

Computer-aided US Diagnosis of Breast Lesions by Using Cell-based Contour Grouping

(2010) Jie-Zhi Cheng et al.   RADIOLOGY

Computerized lesion segmentation of breast ultrasound based on marker-controlled watershed transformation

(2009) W. Gómez et al.   MEDICAL PHYSICS