Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
[HTML][HTML] Comparative analysis of breast cancer detection using machine learning and biosensors
Breast cancer is a widely occurring cancer in women worldwide and is related to high
mortality. The objective of this review was to present several approaches to investigate the …
mortality. The objective of this review was to present several approaches to investigate the …
Enhancing breast cancer detection and classification using advanced multi-model features and ensemble machine learning techniques
Breast cancer (BC) is the most common cancer among women, making it essential to have
an accurate and dependable system for diagnosing benign or malignant tumors. It is …
an accurate and dependable system for diagnosing benign or malignant tumors. It is …
Predicting biomarkers from classifier for liver metastasis of colorectal adenocarcinomas using machine learning models
H Shuwen, Y ** similar data
points by initially selecting random centroids. However, the accuracy of clustering results is …
points by initially selecting random centroids. However, the accuracy of clustering results is …
Leveraging machine learning to solve The vehicle Routing Problem with Time Windows
J Poullet - 2020 - dspace.mit.edu
The Vehicle Routing Problem with Time Windows (VRPTW) has been widely studied in the
Operations Research (OR) literature given its increasingly widespread applications, ranging …
Operations Research (OR) literature given its increasingly widespread applications, ranging …
Prediction of Lungs Cancer Diseases Datasets Using Machine Learning Algorithms
FM Fatoki, EK Akinyemi… - Current Journal of …, 2023 - archive.bionaturalists.in
Lung cancer is the most common cause of mortality, and it is the only sort of cancer that
affects both men and women globally. The primary goal of this paper is to creates a model …
affects both men and women globally. The primary goal of this paper is to creates a model …
Secure federated learning applied to medical imaging with fully homomorphic encryption
This study explores the convergence of Federated Learning (FL) and Fully Homomorphic
Encryption (FHE) through an innovative approach applied to a confidential dataset …
Encryption (FHE) through an innovative approach applied to a confidential dataset …