Cervical cancer survival prediction by machine learning algorithms: a systematic review

M Rahimi, A Akbari, F Asadi, H Emami - BMC cancer, 2023 - Springer
Background Cervical cancer is a common malignant tumor of the female reproductive
system and is considered a leading cause of mortality in women worldwide. The analysis of …

Tumor diagnosis against other brain diseases using T2 MRI brain images and CNN binary classifier and DWT

TN Papadomanolakis, ES Sergaki, AA Polydorou… - Brain Sciences, 2023 - mdpi.com
Purpose: Brain tumors are diagnosed and classified manually and noninvasively by
radiologists using Magnetic Resonance Imaging (MRI) data. The risk of misdiagnosis may …

Lung cancer segmentation using MIBFS clustering and energetic BPN

VJ Rani, K K. Thanammal - International Journal of Information …, 2023 - Springer
Abstract Computer Aided Diagnosis can be used to segment the lung cancer objects to
ensure effective treatment by the pulmonologist. The issues in the existing methods of lung …

Advances in Feature Extraction for Brain Cancer Analysis: A Review of Traditional, Machine Learning, and Deep Learning Approaches

B Almuhaya, B Saha, MA Bazel - 2024 ASU International …, 2024 - ieeexplore.ieee.org
Brain cancer remains a formidable health challenge, necessitating continuous advancement
in diagnostic and therapeutic strategies. Feature extraction techniques, encompassing …

Integration between Bioinformatics Algorithms and Neutrosophic Theory

RM Farag, MY Shams, DA Aldawody… - … Sets and Systems, 2024 - digitalrepository.unm.edu
This paper presents a neutrosophic inference model for bioinformatics. The model is used to
develop a system for accurate comparisons of human nucleic acids, where the new nucleic …

Reswave-Net: A wavelet based Residual U-Net for Brain Tumour Segmentation and Overall Survival Prediction

E Shilna, AK Vinod, RS Jeena… - 2023 International …, 2023 - ieeexplore.ieee.org
A brain tumour is an abnormality in brain tissue that may cause harm to the nervous system
and in severe cases can lead to death. Being a disease with a high mortality rate, the …

[PDF][PDF] High-Resolution Model for Segmenting and Predicting Brain Tumor Based on Deep UNet with Multi Attention Mechanism.

HM Al Abboodi, AW Al-funjan, A Aldhahab… - … Journal of Intelligent …, 2024 - researchgate.net
The research presents a new technique for segmenting brain tumors using the UNet
framework enhanced with an attention mechanism. By incorporating attention processes that …