Accurate segmentation of breast tumors using AE U-net with HDC model in ultrasound images

Improved U-net MALF model for lesion segmentation in breast ultrasound images

(2021) Ying Tong et al.   Biomedical Signal Processing and Control

Breast tumors recognition based on edge feature extraction using support vector machine

(2020) Yangyang Liu et al.   Biomedical Signal Processing and Control

XFinger-Net: Pixel-Wise Segmentation Method for Partially Defective Fingerprint Based on Attention Gates and U-Net

(2020) Guo Chun Wan et al.   SENSORS

Attention-Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images

(2020) Aleksandar Vakanski et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Calcification segmentation based on a different scales superpixels saliency detection algorithm

(2020) Li Ren et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Reasons for (non)participation in supplemental population-based MRI breast screening for women with extremely dense breasts

(2018) S.V. de Lange et al.   CLINICAL RADIOLOGY

Automatic breast ultrasound image segmentation: A survey

(2018) Min Xian et al.   PATTERN RECOGNITION

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

(2018) Moi Hoon Yap et al.   IEEE Journal of Biomedical and Health Informatics

Attention guided U-Net for accurate iris segmentation

(2018) Sheng Lian et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Computer Aided Detection of Breast Cancer on Ultrasound Imaging Using Deep Learning

(2017) Kenichi Inoue et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: A 3D approach

(2011) Berkman Sahiner et al.   MEDICAL PHYSICS

A snake-based method for segmentation of intravascular ultrasound images and its in vivo validation

(2010) Xinjian Zhu et al.   ULTRASONICS