[HTML][HTML] Breast cancer detection by leveraging Machine Learning

AR Vaka, B Soni, S Reddy - Ict Express, 2020 - Elsevier
India has witnessed 30% of the cases of breast cancer during the last few years and it is
likely to increase. Breast cancer in India accounts that one woman is diagnosed every two …

Diagnosis of breast cancer using random forests

M Minnoor, V Baths - Procedia Computer Science, 2023 - Elsevier
Breast cancer was the most diagnosed form of cancer in 2020. Early diagnosis of breast
cancer results in a significant improvement in long-term survival rates. Current methods …

A cost-effective computer-vision based breast cancer diagnosis

PK Sethy, C Pandey, MR Khan… - Journal of Intelligent …, 2021 - content.iospress.com
In the last decade, there have been extensive reports of world health organization (WHO) on
breast cancer. About 2.1 million women are affected every year and it is the second most …

Hybrid salp swarm and grey wolf optimizer algorithm based ensemble approach for breast cancer diagnosis

K Rustagi, P Bhatnagar, R Mathur, I Singh - Multimedia Tools and …, 2024 - Springer
In the world, cancer is listed as the second leading cause of death. Breast cancer is one of
the types that affects women more often than men, and because it has a high mortality rate …

Enhancement of classification and prediction accuracy for breast cancer detection using fast convolution neural network with ensemble algorithm

ND Ponnaganti, R Anitha - International Journal of …, 2023 - inderscienceonline.com
Breast cancer is a leading cancer found mostly in women across the world and is more in
number in the develo** countries where they are not diagnosed in the early stages. The …

[HTML][HTML] A novel automated system to detect breast cancer from ultrasound images using deep fused features with super resolution

MNA Alam, KMM Uddin, MM Rahman… - Intelligence-Based …, 2024 - Elsevier
Cancer patients can benefit from early detection and diagnosis. This study proposes a
machine vision strategy for detecting breast cancer in ultrasound images and correcting …

Role of Deep Learning in Tumor Malignancy Identification and Classification

Chandni, M Sachdeva, AKS Kushwaha - Computer Vision and Machine …, 2023 - Springer
Tumor is a life-threatening disease that is characterized as an abnormal lump of tissue
formed in any part of the human body. Malignant tumors have tendency to become worse …

A Comparative Study of Advanced Machine Learning Ensemble Techniques for Classification of Breast Cancer

T Yasmeen, M Ali, MU Hashmi, MA Hashmi… - Journal of Computing & …, 2024 - jcbi.org
The most prevalent and the life-threatening diseases include Breast cancer worldwide. An
early detection and diagnosis which are accurate is essential for improving in survival rates …

Performance Evaluation of Various Optimizers for Breast Cancer Diagnosis Using Neural Networks

Y Nawaz, MU Hashmi, M Ali, H Bibi, M Ali… - Journal of Computing & …, 2024 - jcbi.org
Breast cancer is one of the leading causes of premature death for women worldwide;
therefore, early and accurate detection is critical to improving patient outcomes. This study …

Prediction of Breast Cancer Risk Using Microarrays and Deep Learning

RM Shanmu, P Brundha… - … on Networking and …, 2023 - ieeexplore.ieee.org
More than 1.15 million new instances of breast cancer are identified each year. In the clinic,
only a few reliable prognostic and predictive indicators are utilized to make decisions about …