A hybrid algorithm of ml and xai to prevent breast cancer: a strategy to support decision making
F Silva-Aravena, H Núñez Delafuente… - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is one of the most common health problems in the world. As
a result, governments and researchers in different countries are trying to help prevent the …
a result, governments and researchers in different countries are trying to help prevent the …
Computational Techniques in PET/CT Image Processing for Breast Cancer: A Systematic Mapping Review
K Carrasco, L Tomalá, E Ramírez Meza… - ACM Computing …, 2024 - dl.acm.org
The problem arises from the lack of sufficient and comprehensive information about the
necessary computer techniques. These techniques are crucial for developing information …
necessary computer techniques. These techniques are crucial for developing information …
Diagnosis of breast cancer on imbalanced dataset using various sampling techniques and machine learning models
R Gupta, R Bhargava… - 2021 14th International …, 2021 - ieeexplore.ieee.org
Breast Cancer is the second most leading cause of death among women. The early
detection of the disease increases the chances of survival of the patient. Therefore, there is …
detection of the disease increases the chances of survival of the patient. Therefore, there is …
[PDF][PDF] Data mining in cancer diagnosis and prediction: review about latest ten years
ZNS Weli - Current Journal of Applied Science and Technology, 2020 - researchgate.net
Data Mining [DM] has exceptional and prodigious potential for examining and analyzing the
vague data of the medical domain. Where these data are used in clinical prognosis and …
vague data of the medical domain. Where these data are used in clinical prognosis and …
Cervical cancer single cell image data augmentation using residual condition generative adversarial networks
S Chen, D Gao, L Wang, Y Zhang - 2020 3rd international …, 2020 - ieeexplore.ieee.org
Early detection of cervical cancer is key to detecting and treating cancer. Applying the
computer to the detection of cervical cancer can get more accurate results. However, data …
computer to the detection of cervical cancer can get more accurate results. However, data …
Investigation of quasi-static puncture force on thin novel hybrid Kevlar/Glass/Kevlar/fiber composite compared with and without the sonication of MWCNT …
TF Daniel, A Vasudevan, V Thiruchelvam… - AIP Conference …, 2024 - pubs.aip.org
This study aimed at finding the influence of MWCNT nanoparticles particles fillers on the
quasi-static puncture force of Kevlar/Glass/Kevlar fiber composite, which is weakened by …
quasi-static puncture force of Kevlar/Glass/Kevlar fiber composite, which is weakened by …
An improved breast cancer nuclei segmentation method based on unet++
H Wang, Y Li, Z Luo - Proceedings of the 2020 6th International …, 2020 - dl.acm.org
Nuclei segmentation plays an important role in medical image analysis but it is also a
challenging area due to the tiny size of nuclei especially for breast cancer nuclei. To address …
challenging area due to the tiny size of nuclei especially for breast cancer nuclei. To address …
Machine Learning Empowered Breast Cancer Diagnosis: Insights from Coimbra Dataset Analysis
M Tiwari, N Singh, A Mewada… - Recent Advances in …, 2024 - benthamdirect.com
Aim The aim of this work is to succinctly communicate the key aspects of a research study on
breast cancer. This includes highlighting the global impact and prevalence of breast cancer …
breast cancer. This includes highlighting the global impact and prevalence of breast cancer …
Investigating novel AA5051/SiO2 nanocomposite with monolithic AA5051 for improving compressive strength
NG Athersh, G Anbuchezhiyan… - AIP Conference …, 2024 - pubs.aip.org
This project aims to find the compressive strength of the recycled AA5051 alloy with and
without reinforcing novel SiO2 using the stir casting method. Materials and Methods: The …
without reinforcing novel SiO2 using the stir casting method. Materials and Methods: The …
[PDF][PDF] A Review of Data Mining and Knowledge Discovery Approaches for Bioinformatics
FK Nasser, SF Behadili - Iraqi Journal of Science, 2022 - iasj.net
This review explores the Knowledge Discovery Database (KDD) approach, which supports
the bioinformatics domain to progress efficiently, and illustrate their relationship with data …
the bioinformatics domain to progress efficiently, and illustrate their relationship with data …