[HTML][HTML] 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 developing
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 …
Semantic segmentation of breast ultrasound image with fuzzy deep learning network and breast anatomy constraints
Breast cancer is one of the most serious disease affecting women's health. Due to low cost,
portable, no radiation, and high efficiency, breast ultrasound (BUS) imaging is the most …
portable, no radiation, and high efficiency, breast ultrasound (BUS) imaging is the most …
[HTML][HTML] Improving breast cancer detection and diagnosis through semantic segmentation using the Unet3+ deep learning framework
We present an analysis and evaluation of breast cancer detection and diagnosis using
segmentation models. We used an advanced semantic segmentation method and a deep …
segmentation models. We used an advanced semantic segmentation method and a deep …
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 …
A method for segmentation of tumors in breast ultrasound images using the variant enhanced deep learning
AE Ilesanmi, U Chaumrattanakul… - Biocybernetics and …, 2021 - Elsevier
Background Breast cancer is a deadly disease responsible for statistical yearly global death.
Identification of cancer tumors is quite tasking, as a result, concerted efforts are thus …
Identification of cancer tumors is quite tasking, as a result, concerted efforts are thus …
[HTML][HTML] MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound images
Accurate breast lesion segmentation is a great help in the initial stage of breast cancer
treatment planning. Ultrasound is considered the safe and cheapest method for the breast …
treatment planning. Ultrasound is considered the safe and cheapest method for the breast …
[PDF][PDF] A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
Breast cancer is one of the leading causes of death in women worldwide—the rapid
increase in breast cancer has brought about more accessible diagnosis resources. The …
increase in breast cancer has brought about more accessible diagnosis resources. The …
Breast ultrasound lesions recognition: end-to-end deep learning approaches
Multistage processing of automated breast ultrasound lesions recognition is dependent on
the performance of prior stages. To improve the current state of the art, we propose the use …
the performance of prior stages. To improve the current state of the art, we propose the use …
[HTML][HTML] An RDAU-NET model for lesion segmentation in breast ultrasound images
Z Zhuang, N Li, AN Joseph Raj, VGV Mahesh, S Qiu - PloS one, 2019 - journals.plos.org
Breast cancer is a common gynecological disease that poses a great threat to women health
due to its high malignant rate. Breast cancer screening tests are used to find any warning …
due to its high malignant rate. Breast cancer screening tests are used to find any warning …
RRCNet: Refinement residual convolutional network for breast ultrasound images segmentation
Breast ultrasound images segmentation is one of the key steps in clinical auxiliary diagnosis
of breast cancer, which seriously threatens women's health. Currently, deep learning …
of breast cancer, which seriously threatens women's health. Currently, deep learning …