Medical image based breast cancer diagnosis: State of the art and future directions
The intervention of medical imaging has significantly improved early diagnosis of breast
cancer. Different radiological and microscopic imaging modalities are frequently utilized by …
cancer. Different radiological and microscopic imaging modalities are frequently utilized by …
Transition of traditional method to deep learning based computer-aided system for breast cancer using automated breast ultrasound system (abus) images: a review
DNF Pengiran Mohamad, S Mashohor… - Artificial Intelligence …, 2023 - Springer
Breast cancer (BC) is the leading cause of death among women worldwide. Early detection
and diagnosis of BC can help significantly reduce the mortality rate. Ultrasound (US) can be …
and diagnosis of BC can help significantly reduce the mortality rate. Ultrasound (US) can be …
Rethinking the unpretentious U-net for medical ultrasound image segmentation
Breast tumor segmentation from ultrasound images is one of the key steps that help us
characterize and localize tumor regions. However, variable tumor morphology, blurred …
characterize and localize tumor regions. However, variable tumor morphology, blurred …
Hover-trans: Anatomy-aware hover-transformer for roi-free breast cancer diagnosis in ultrasound images
Ultrasonography is an important routine examination for breast cancer diagnosis, due to its
non-invasive, radiation-free and low-cost properties. However, the diagnostic accuracy of …
non-invasive, radiation-free and low-cost properties. However, the diagnostic accuracy of …
Multi-view stereoscopic attention network for 3D tumor classification in automated breast ultrasound
As the new generation of breast cancer screening tools, automated breast ultrasound
(ABUS) has some difficulties of the long interpretation time in clinical application. A computer …
(ABUS) has some difficulties of the long interpretation time in clinical application. A computer …
Joint-phase attention network for breast cancer segmentation in DCE-MRI
R Huang, Z Xu, Y Xie, H Wu, Z Li, Y Cui, Y Huo… - Expert Systems with …, 2023 - Elsevier
Breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an
important role in the screening and treatment evaluation of high-risk breast cancer. The …
important role in the screening and treatment evaluation of high-risk breast cancer. The …
Cross-model attention-guided tumor segmentation for 3D automated breast ultrasound (ABUS) images
Tumor segmentation in 3D automated breast ultrasound (ABUS) plays an important role in
breast disease diagnosis and surgical planning. However, automatic segmentation of …
breast disease diagnosis and surgical planning. However, automatic segmentation of …
3D multi-view tumor detection in automated whole breast ultrasound using deep convolutional neural network
Y Zhou, H Chen, Y Li, S Wang, L Cheng, J Li - Expert Systems with …, 2021 - Elsevier
In recent years, automated whole breast ultrasound (ABUS) has drawn attention to breast
disease detection and diagnosis applications. However, reviewing ABUS volumes is a time …
disease detection and diagnosis applications. However, reviewing ABUS volumes is a time …
Multi-path decoder U-Net: A weakly trained real-time segmentation network for object detection and localization in ultrasound scans
Detecting and localizing an anatomical structure of interest within the field of view of an
ultrasound scan is an essential step in many diagnostic and therapeutic procedures …
ultrasound scan is an essential step in many diagnostic and therapeutic procedures …
Efficient fetal ultrasound image segmentation for automatic head circumference measurement using a lightweight deep convolutional neural network
W Zeng, J Luo, J Cheng, Y Lu - Medical Physics, 2022 - Wiley Online Library
Purpose Fetal head circumference (HC) is an important biometric parameter that can be
used to assess fetal development in obstetric clinical practice. Most of the existing methods …
used to assess fetal development in obstetric clinical practice. Most of the existing methods …