Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion
After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …
mortality among women after lung cancer. Women's death rates can be decreased if breast …
MRFE-CNN: Multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network
R Ranjbarzadeh, N Tataei Sarshar… - Annals of Operations …, 2023 - Springer
Breast cancer is cancer that develops from the breast tissue and has been recognized as
one of the most dangerous and deadly diseases that is the second leading cause of cancer …
one of the most dangerous and deadly diseases that is the second leading cause of cancer …
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 …
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 …
A novel transfer learning-based model for ultrasound breast cancer image classification
Breast cancer is the second most dangerous disease for women after lung cancer. As in
most diseases, an early detection and the corresponding treatment of breast cancer …
most diseases, an early detection and the corresponding treatment of breast cancer …
Automatic semantic segmentation of breast tumors in ultrasound images based on combining fuzzy logic and deep learning—A feasibility study
SM Badawy, AENA Mohamed, AA Hefnawy, HE Zidan… - PloS one, 2021 - journals.plos.org
Computer aided diagnosis (CAD) of biomedical images assists physicians for a fast
facilitated tissue characterization. A scheme based on combining fuzzy logic (FL) and deep …
facilitated tissue characterization. A scheme based on combining fuzzy logic (FL) and deep …
[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 …
A discriminative level set method with deep supervision for breast tumor segmentation
Background: Breast tumor segmentation in B-mode ultrasound imaging is important for
analyzing, identifying, and diagnosing tumors. The level set is an approach most widely …
analyzing, identifying, and diagnosing tumors. The level set is an approach most widely …
A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms
Breast cancer is the second most frequent cancer worldwide, following lung cancer and the
fifth leading cause of cancer death and a major cause of cancer death among women. In …
fifth leading cause of cancer death and a major cause of cancer death among women. In …