An extensive analysis of artificial intelligence and segmentation methods transforming cancer recognition in medical imaging

K Ramalakshmi, VS Raghavan… - Biomedical Physics …, 2024‏ - iopscience.iop.org
Recent advancements in computational intelligence, deep learning, and computer-aided
detection have had a significant impact on the field of medical imaging. The task of image …

A machine learning classification technique for predicting prostate cancer

M Alam, M Tahernezhadi, HK Vege… - … Conference on Electro …, 2020‏ - ieeexplore.ieee.org
This paper presents and validates various classification techniques on supervised machine
learning (ML) for predicting prostate cancer. A modified Logistic Regression (LR) classifier is …

2-D canonical correlation analysis based image super-resolution scheme for facial emotion recognition

Z Ullah, L Qi, D Binu, BR Rajakumar… - Multimedia Tools and …, 2022‏ - Springer
In this research work, a new Image super-resolution-based Face Emotion Recognition
Model has been introduced. The proposed work includes two major phases:(a) Facial image …

[PDF][PDF] Lung cancer prediction using data mining techniques

EYV Chandra, KR Teja, M Prasad… - International Journal of …, 2019‏ - researchgate.net
The major cause for death in human beings is because of cancer. Lung cancer is one of the
most common and serious types of cancer that severely harms the human body. In order to …

Prostate cancer classification with MRI using Taylor-bird squirrel optimization based deep recurrent neural network

GV Kumar, MI Bellary, TB Reddy - The Imaging Science Journal, 2022‏ - Taylor & Francis
Prostate cancer is a type of cancer that develops in the prostate. The prostate is a little gland
in men that resembles a walnut and secretes seminal fluid, which nourishes and transports …

Review On Secure Heart Disease Predictable Data using Blockchain

CA Sherifa, B Kanisha - 2023 International Conference on …, 2023‏ - ieeexplore.ieee.org
Recently, Heart Disease (HD) is considered as the dominant source of death.
Approximately, 32% of people die due to HD every year. Owing to late recognition of the …

Prediction of tuberculosis cases based on sociodemographic and environmental factors in gombak, selangor, Malaysia: a comparative assessment of multiple linear …

NA Mohidem, M Osman, FM Muharam… - The International …, 2021‏ - journals.lww.com
Background: Early prediction of tuberculosis (TB) cases is very crucial for its prevention and
control. This study aims to predict the number of TB cases in Gombak based on …

Prediction of Lung Cancer using Data Mining Techniques

R Uma, P Ramkumar, JA Ruth… - … on Smart Electronics …, 2022‏ - ieeexplore.ieee.org
At present, most people suffer a tumor due to their habitual attitude and food habits. The
result of this disease is death, and every day the ratio of morbid and mortality is gradually …

[PDF][PDF] An extensive study of facial expression recognition using artificial intelligence techniques with different datasets

SR Karra, AL Kakhandki - Journal of Autonomous …, 2023‏ - pdfs.semanticscholar.org
Machine and deep learning (DL) algorithms have advanced to a point where a wide range
of crucial real-world computer vision problems can be solved. Facial Expression …

An empirical study of CNN-deep learning models for detection of Covid-19 using Chest X-Ray images

MA Muqeet, QM Hameeduddin… - Smart Technologies in …, 2023‏ - Springer
The Covid-19 spun into a pandemic and has affected routine lives and global health. It is
crucial to identify the infectious Covid-19 subjects as early as possible to avert its spread …