Medical imaging using deep learning models

C Singh - European Journal of Engineering and Technology …, 2021 - ej-eng.org
Deep learning has played a potential role in quality healthcare with fast automated and
proper medical image analysis. In clinical applications, medical imaging is one of the most …

An unsupervised neural network feature selection and 1D convolution neural network classification for screening of parkinsonism

TS Mian - Diagnostics, 2022 - mdpi.com
Parkinson's disease (PD) is the second most common neurodegenerative disorder after
Alzheimer's disease. It has a slow progressing neurodegenerative disorder rate. PD patients …

Plant disease identification using convolution neural networks

D Mitra, S Gupta, D Srivastava… - Intelligent Internet of Things …, 2023 - taylorfrancis.com
The most extensively utilized and comprehensive common-sense cognitive engine in the
ecosphere is artificial intelligence (AI). The cloud SaaS model and the concept of AI …

Plant disease identification and its solution using machine learning

D Mitra, S Gupta - 2022 3rd International Conference on …, 2022 - ieeexplore.ieee.org
In the agricultural sector, crop cultivation is crucial. At the time, ill crops are the main source
of food loss, which affects output rates as a result. It has not yet been investigated how to …

[HTML][HTML] Perspective on Dark-Skinned Emotion Recognition using Deep-Learned and Handcrafted Feature Techniques

ME Irhebhude, AO Kolawole… - … -Recent Advances, New …, 2023 - intechopen.com
Image recognition has been widely used in various fields of applications such as human—
computer interaction, where it can enhance fluency, accuracy, and naturalness in …

[PDF][PDF] Medical image counterfeit detection for smart healthcare

SK Kabilesh, K Revathi, K Sabitha… - Journal of Sensor …, 2020 - researchgate.net
With the invention of new technologies, new features are implemented in the field of
healthcare. The new features and facilities provide easy to access the medical records …

[PDF][PDF] An Unsupervised Neural Network Feature Selection and 1D Convolution Neural Network Classification for Screening of Parkinsonism. Diagnostics 2022, 12 …

TS Mian - 2022 - academia.edu
Parkinson's disease (PD) is the second most common neurodegenerative disorder after
Alzheimer's disease. It has a slow progressing neurodegenerative disorder rate. PD patients …

Scrutinization of mammogram images using deep learning

SR Reeja, T Thotakura, I Yaseen - Computational Intelligence and …, 2024 - Elsevier
Progressive steps were taken by the deep learning model in a multitude of implementations.
The main source of interest is the convolutional neural network (CNN), which is regarded as …

[PDF][PDF] Revisión de métodos de aprendizaje automático para detectar al parásito de la enfermedad de Chagas

A Ojeda-Pat, A Martin-González, V Uc-Cetina - Investigación y Ciencia, 2020 - redalyc.org
* Laboratory for Computational Learning and Imaging Research, Facultad de Matemáticas,
Universidad Autónoma de Yucatán. Anillo Periférico Norte, Tablaje Cat. 13615, Colonia …

Prediction of Diabetic Retinopathy (DR), DR progression and relationship with clinical data using Optical Coherence Tomography Angiography

N Oleart Playà - 2023 - upcommons.upc.edu
Diabetic retinopathy (DR) is a common complication of diabetes and a leading cause of
blindness. Early detection and treatment are critical to prevent vision loss. Optical coherence …