A comprehensive review on breast cancer detection, classification and segmentation using deep learning
The incidence and mortality rate of Breast Cancer (BC) are global problems for women, with
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
[HTML][HTML] Breast cancer diagnosis: A systematic review
X Wen, X Guo, S Wang, Z Lu, Y Zhang - Biocybernetics and Biomedical …, 2024 - Elsevier
The second-leading cause of death for women is breast cancer. Consequently, a precise
early diagnosis is essential. With the rapid development of artificial intelligence, computer …
early diagnosis is essential. With the rapid development of artificial intelligence, computer …
[HTML][HTML] A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images
With over 2.1 million new cases of breast cancer diagnosed annually, the incidence and
mortality rate of this disease pose severe global health issues for women. Identifying the …
mortality rate of this disease pose severe global health issues for women. Identifying the …
Harnessing the power of radiomics and deep learning for improved breast cancer diagnosis with multiparametric breast mammography
Breast cancer, with its high mortality, faces diagnostic challenges due to variability in
mammography quality and breast densities, leading to inconsistencies in radiological …
mammography quality and breast densities, leading to inconsistencies in radiological …
Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress
Biotic stress imposed by pathogens, including fungal, bacterial, and viral, can cause heavy
damage leading to yield reduction in maize. Therefore, the identification of resistant genes …
damage leading to yield reduction in maize. Therefore, the identification of resistant genes …
Attention-Based Ensemble Network for Effective Breast Cancer Classification over Benchmarks
Globally, breast cancer (BC) is considered a major cause of death among women.
Therefore, researchers have used various machine and deep learning-based methods for its …
Therefore, researchers have used various machine and deep learning-based methods for its …
Breast cancer prediction using machine learning models
O Iparraguirre-Villanueva, A Epifanía-Huerta… - 2023 - repositorio.uwiener.edu.pe
Breast cancer is a type of cancer that develops in the cells of the breast. Treatment for breast
cancer usually involves X-ray, chemotherapy, or a combination of both treatments. Detecting …
cancer usually involves X-ray, chemotherapy, or a combination of both treatments. Detecting …
Acoustic data detection in large-scale emergency vehicle sirens and road noise dataset
This paper presents a novel deep learning model called Self-Attention Layer within a
Convolutional Neural Network (SACNN), specifically designed for detecting acoustic data in …
Convolutional Neural Network (SACNN), specifically designed for detecting acoustic data in …
An optimized ensemble classifier for mammographic mass classification
R Laishram, R Rabidas - Computers and Electrical Engineering, 2024 - Elsevier
Breast cancer is one of the most common cause of deaths among women due to cancer. A
computer-assisted prognosis and diagnosis of breast cancer, which effectively reduces the …
computer-assisted prognosis and diagnosis of breast cancer, which effectively reduces the …
Denoising and segmentation in medical image analysis: A comprehensive review on machine learning and deep learning approaches
RR Kumar, R Priyadarshi - Multimedia Tools and Applications, 2024 - Springer
Medical imaging plays an essential role in modern healthcare, helping accurate diagnoses
and effective treatment strategies. Still, the quality and interpretability of medical images are …
and effective treatment strategies. Still, the quality and interpretability of medical images are …