Improving Breast Cancer Prognosis with DL-Based Image Classification
SR Vinta, B Dhanalaxmi, S Aadilakshmi… - … on Computer & …, 2023 - Springer
Breast cancer is a serious global health problem, particularly among women, highlighting
the crucial need for novel diagnostic and prognostic therapies. In this research, we delve
into the potential of DL models, with a focus on ResNet50, VGG16, and AlexNet, to classify
mammographic images, aiming to improve the prognosis of breast cancer. Leveraging the
(DDSM) and its refined version, we engineered and evaluated models to proficiently
distinguish mammographic images into normal, benign, and malignant classifications …
the crucial need for novel diagnostic and prognostic therapies. In this research, we delve
into the potential of DL models, with a focus on ResNet50, VGG16, and AlexNet, to classify
mammographic images, aiming to improve the prognosis of breast cancer. Leveraging the
(DDSM) and its refined version, we engineered and evaluated models to proficiently
distinguish mammographic images into normal, benign, and malignant classifications …
Improving Breast Cancer Prognosis with DL-Based Image Classification Check for updates
SR Vinta, B Dhanalaxmi, S Aadilakshmi… - Proceedings of Fifth … - books.google.com
Breast cancer is a serious global health problem, particularly among women, highlighting
the crucial need for novel diagnostic and prognostic therapies. In this research, we delve
into the potential of DL models, with a focus on ResNet50, VGG16, and AlexNet, to classify
mammographic images, aiming to improve the prognosis of breast cancer. Leveraging the
(DDSM) and its refined version, we engineered and evaluated models to proficiently
distinguish mammographic images into normal, benign, and malignant classifications …
the crucial need for novel diagnostic and prognostic therapies. In this research, we delve
into the potential of DL models, with a focus on ResNet50, VGG16, and AlexNet, to classify
mammographic images, aiming to improve the prognosis of breast cancer. Leveraging the
(DDSM) and its refined version, we engineered and evaluated models to proficiently
distinguish mammographic images into normal, benign, and malignant classifications …
以上显示的是最相近的搜索结果。 查看全部搜索结果