A comprehensive survey on feature selection in the various fields of machine learning

P Dhal, C Azad - Applied Intelligence, 2022 - Springer
Abstract In Machine Learning (ML), Feature Selection (FS) plays a crucial part in reducing
data's dimensionality and enhancing any proposed framework's performance. However, in …

Comprehensive overview of Alzheimer's disease utilizing Machine Learning approaches

R Kumar, C Azad - Multimedia Tools and Applications, 2024 - Springer
Alzheimer's disease is a common and complex brain disorder that primarily affects the
elderly. Because it is progressing and has few effective therapies, it requires a thorough …

Implementation of data augmentation to improve performance CNN method for detecting diabetic retinopathy

T Agustin, E Utami, H Al Fatta - 2020 3rd International …, 2020 - ieeexplore.ieee.org
The most common causes of blindness in adults worldwide, 2.6% of them are caused by
diabetic retinopathy, which is a progressive disease caused by complications of diabetes …

Blood Vessel Detection in Fundus Images Using Symbolic Approach

S Lamti, R Sekhsoukh, FZ Mabrouki… - 2023 14th …, 2023 - ieeexplore.ieee.org
The diagnosis of retinal diseases using the vasculature of Fundus images has long been a
focus of both ophthalmologists and medical research. Using computer-aided techniques to …

Diabetic Retinopathy Screening Using Machine Learning: A Systematic Review

FM Dejene, TG Debelee, F Schwenker, YM Ayano… - 2024 - researchsquare.com
Diabetic retinopathy (DR) stands as a leading cause of global blindness. Early identification
and prompt treatment are essential to prevent vision impairment caused by DR. Manual …

Facile diabetic retinopathy detection using MRHE-FEED and classification using deep convolutional neural network

M Zubair, MUK Naik… - 2020 IEEE 15th …, 2020 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is an intricacy of diabetes that affects the eyes. In this paper, we
have proposed a hybrid pre-processing and feature extraction technique named as …

Representative Data Generation of Diabetic Retinopathy Synthetic Retinal Images

W Ten Dam, M Grol, Z Zeegers, A Dehghani… - Proceedings of the …, 2023 - dl.acm.org
Machine learning models have proven their use in the medical field, assisting physicians in
early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could …

[PDF][PDF] A Novel Advanced Approach Using Morphological Image Processing Technique for Early Detection of Diabetes Retinopathy

W Sanya, G Bajpai, M Amour, M Alawi… - International Journal of …, 2021 - academia.edu
Diabetic retinopathy (DR) is a common complication of diabetes mellitus and can lead to
irreversible blindness. To date, DR is the leading cause of blindness and visual impairment …

[PDF][PDF] Breast Cancer Prediction Using Oversampling Technique, Particle Swarm Optimization, and Fuzzy Logic

KD Mahato, C Saini, SSGK Das, A Kumar, C Azad… - researchgate.net
Background: Breast cancer is one of the most devastating and prominent reasons for
women's life loss on the planet today. Therefore, the development of tools for the early …

[PDF][PDF] Enhanced Optimization using Advanced Cuckoo Search Algorithm with Ensemble classification for detection of Diabetic Retinopathy

NS Basavaraju, S Ganesarathinam - ijcse.com
Diabetic Retinopathy (DR) is an eye disease which occurs due to enormous glucose level in
the blood among diabetic patients. The diabetic patients are having higher chances of …