Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight
SK Singh, KS Patnaik - Multimedia Tools and Applications, 2024 - Springer
Breast Cancer, with an expected 42,780 deaths in the US alone in 2024, is one of the most
prevalent types of cancer. The death toll due to breast cancer would be very high if it were to …
prevalent types of cancer. The death toll due to breast cancer would be very high if it were to …
ST-Double-Net: A Two-Stage Breast Tumor Classification Model Based on Swin Transformer and Weakly Supervised Target Localization
S Hao, Y Jia, J Liu, Z Wang, C Liu, Z Ji… - IEEE Access, 2024 - ieeexplore.ieee.org
Breast cancer is the second deadliest cancer (after lung cancer) globally among women,
with high incidence and mortality rates. Its early diagnosis is pivotal for improving the cure …
with high incidence and mortality rates. Its early diagnosis is pivotal for improving the cure …
Infusing Weighted Average Ensemble Diversity for Advanced Breast Cancer Detection
B Abhisheka, SK Biswas… - International Journal of …, 2024 - Wiley Online Library
Breast cancer is a widespread health threat for women globally, often difficult to detect early
due to its asymptomatic nature. As the disease advances, treatment becomes intricate and …
due to its asymptomatic nature. As the disease advances, treatment becomes intricate and …
Revolutionizing Breast Cancer Diagnosis: Insights from KNN and SVM Models in Machine Learning
C Vemula, P Chavva, U Battu… - 2024 5th …, 2024 - ieeexplore.ieee.org
We propose to carry out a complete assessment of the machine learning approaches
associated to the hard work of breast cancer diagnosis with the aid of this research project …
associated to the hard work of breast cancer diagnosis with the aid of this research project …
Breast Cancer Histopathological Image Classification Using PIP-Net
AK Titoriya, MP Singh - 2024 First International Conference …, 2024 - ieeexplore.ieee.org
Histopathological images serve as pivotal assets within the domain of breast cancer
diagnosis, demanding profound comprehension for precise interpretation. This paper …
diagnosis, demanding profound comprehension for precise interpretation. This paper …
Breast Cancer Detection using Explainable AI and Quantum Neural Network
S Waris, J Amin, M Yasmeen - 2024 - researchsquare.com
The number one cancer type for women happens to be breast cancer. Women of any age
are more likely to have this disorder because of where they live, their hormones, and the …
are more likely to have this disorder because of where they live, their hormones, and the …
An Introductory Implementation of Breast Cancer Detection from Mammograms and Pixel Intensity with Efficient-Net Other Neural Nets
S Banerjee, H Kabir - bioRxiv, 2024 - biorxiv.org
In the world of civilized medical scientific progression, cancer has become a very serious
threat for the natural survival of human beings where breast cancer stays to be the second …
threat for the natural survival of human beings where breast cancer stays to be the second …