Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …
Deep learning in breast cancer imaging: A decade of progress and future directions
Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
AAU-net: an adaptive attention U-net for breast lesions segmentation in ultrasound images
Various deep learning methods have been proposed to segment breast lesions from
ultrasound images. However, similar intensity distributions, variable tumor morphologies …
ultrasound images. However, similar intensity distributions, variable tumor morphologies …
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 …
[HTML][HTML] Deep Learning-based Multi-stage segmentation method using ultrasound images for breast cancer diagnosis
SW Cho, NR Baek, KR Park - Journal of King Saud University-Computer …, 2022 - Elsevier
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 …
Owing to the increased need for a rapid and reliable initial diagnosis of breast cancer …
DSEU-net: A novel deep supervision SEU-net for medical ultrasound image segmentation
G Chen, Y Liu, J Qian, J Zhang, X Yin, L Cui… - Expert Systems with …, 2023 - Elsevier
The automatic and accurate medical ultrasound image segmentation has been a
challenging task due to the coupled interference of various internal and external factors. In …
challenging task due to the coupled interference of various internal and external factors. In …
Estan: Enhanced small tumor-aware network for breast ultrasound image segmentation
Breast tumor segmentation is a critical task in computer-aided diagnosis (CAD) systems for
breast cancer detection because accurate tumor size, shape, and location are important for …
breast cancer detection because accurate tumor size, shape, and location are important for …
Asymmetric U-shaped network with hybrid attention mechanism for kidney ultrasound images segmentation
Kidney ultrasound (KUS) images segmentation is one of the key steps in computer-aided
diagnosis. The perturbation of heterogeneous structure, similar intensity distribution, and …
diagnosis. The perturbation of heterogeneous structure, similar intensity distribution, and …
A multibranch and multiscale neural network based on semantic perception for multimodal medical image fusion
C Lin, Y Chen, S Feng, M Huang - Scientific Reports, 2024 - nature.com
Medical imaging is indispensable for accurate diagnosis and effective treatment, with
modalities like MRI and CT providing diverse yet complementary information. Traditional …
modalities like MRI and CT providing diverse yet complementary information. Traditional …
Attention based UNet model for breast cancer segmentation using BUSI dataset
Breast cancer, a prevalent and life-threatening disease, necessitates early detection for the
effective intervention and the improved patient health outcomes. This paper focuses on the …
effective intervention and the improved patient health outcomes. This paper focuses on the …