Hybrid deep learning and genetic algorithms approach (HMB-DLGAHA) for the early ultrasound diagnoses of breast cancer
Breast cancer is one of the most commonly diagnosed cancers in the world that has
overtaken lung cancer and is considered a leading cause of molarity. The current study …
overtaken lung cancer and is considered a leading cause of molarity. The current study …
A modified LeNet CNN for breast cancer diagnosis in ultrasound images
S Balasubramaniam, Y Velmurugan, D Jaganathan… - Diagnostics, 2023 - mdpi.com
Convolutional neural networks (CNNs) have been extensively utilized in medical image
processing to automatically extract meaningful features and classify various medical …
processing to automatically extract meaningful features and classify various medical …
An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images
Breast cancer is the second major reason of death among women around the world. Early
and accurate breast cancer detection is important for proper treatment planning to save a …
and accurate breast cancer detection is important for proper treatment planning to save a …
Meta-heuristic algorithm-tuned neural network for breast cancer diagnosis using ultrasound images
Breast cancer is the most menacing cancer among all types of cancer in women around the
globe. Early diagnosis is the only way to increase the treatment options which then …
globe. Early diagnosis is the only way to increase the treatment options which then …
Computer-aided diagnosis system for breast ultrasound images using deep learning
H Tanaka, SW Chiu, T Watanabe… - Physics in medicine …, 2019 - iopscience.iop.org
The purpose of this study was to develop a computer-aided diagnosis (CAD) system for the
classification of malignant and benign masses in the breast using ultrasonography based on …
classification of malignant and benign masses in the breast using ultrasonography based on …
Ensemble deep-learning-enabled clinical decision support system for breast cancer diagnosis and classification on ultrasound images
Simple Summary In the literature, there exist plenty of research works focused on the
detection and classification of breast cancer. However, only a few works have focused on …
detection and classification of breast cancer. However, only a few works have focused on …
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 …
Achieving highly efficient breast ultrasound tumor classification with deep convolutional neural networks
Ultrasound imaging is one of the common modalities used nowadays during radiological
screening of breast cancer. A novel residual deep convolutional neural network (DCNN) is …
screening of breast cancer. A novel residual deep convolutional neural network (DCNN) is …
The utility of deep learning in breast ultrasonic imaging: a review
T Fujioka, M Mori, K Kubota, J Oyama, E Yamaga… - Diagnostics, 2020 - mdpi.com
Breast cancer is the most frequently diagnosed cancer in women; it poses a serious threat to
women's health. Thus, early detection and proper treatment can improve patient prognosis …
women's health. Thus, early detection and proper treatment can improve patient prognosis …
DeepBreastCancerNet: A novel deep learning model for breast cancer detection using ultrasound images
Breast cancer causes hundreds of women's deaths each year. The manual detection of
breast cancer is time-consuming, complicated, and prone to inaccuracy. For Breast Cancer …
breast cancer is time-consuming, complicated, and prone to inaccuracy. For Breast Cancer …