Current and emerging trends in medical image segmentation with deep learning
In recent years, the segmentation of anatomical or pathological structures using deep
learning has experienced a widespread interest in medical image analysis. Remarkably …
learning has experienced a widespread interest in medical image analysis. Remarkably …
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 …
CSwin-PNet: A CNN-Swin Transformer combined pyramid network for breast lesion segmentation in ultrasound images
H Yang, D Yang - Expert Systems with Applications, 2023 - Elsevier
Currently, the automatic segmentation of breast tumors based on breast ultrasound (BUS)
images is still a challenging task. Most lesion segmentation methods are implemented …
images is still a challenging task. Most lesion segmentation methods are implemented …
SMU-Net: Saliency-guided morphology-aware U-Net for breast lesion segmentation in ultrasound image
Z Ning, S Zhong, Q Feng, W Chen… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Deep learning methods, especially convolutional neural networks, have been successfully
applied to lesion segmentation in breast ultrasound (BUS) images. However, pattern …
applied to lesion segmentation in breast ultrasound (BUS) images. However, pattern …
Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation
Breast cancer is one of the most common causes of death among women worldwide. Early
signs of breast cancer can be an abnormality depicted on breast images (eg, mammography …
signs of breast cancer can be an abnormality depicted on breast images (eg, mammography …
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN
Purpose Automatic breast ultrasound (ABUS) imaging has become an essential tool in
breast cancer diagnosis since it provides complementary information to other imaging …
breast cancer diagnosis since it provides complementary information to other imaging …
[HTML][HTML] An overview of deep learning in medical imaging
Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …
growth in recent years. The scientific community has focused its attention on DL due to its …
Channel attention module with multiscale grid average pooling for breast cancer segmentation in an ultrasound image
Breast cancer accounts for the second-largest number of deaths in women around the world,
and more than 8% of women will suffer from the disease in their lifetime. Mortality due to …
and more than 8% of women will suffer from the disease in their lifetime. Mortality due to …
Dilated semantic segmentation for breast ultrasonic lesion detection using parallel feature fusion
Breast cancer is becoming more dangerous by the day. The death rate in develo**
countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading …
countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading …
Deep neural architectures for medical image semantic segmentation
Deep learning has an enormous impact on medical image analysis. Many computer-aided
diagnostic systems equipped with deep networks are rapidly reducing human intervention in …
diagnostic systems equipped with deep networks are rapidly reducing human intervention in …