[PDF][PDF] Convolutional neural network based classification of patients with pneumonia using X-ray lung images
H Moujahid, B Cherradi, OE Gannour… - Advances in Science …, 2020 - academia.edu
Analysis and classification of lung diseases using X-ray images is a primary step in the
procedure of pneumonia diagnosis, especially in a critical period as pandemic of COVID-19 …
procedure of pneumonia diagnosis, especially in a critical period as pandemic of COVID-19 …
[Retracted] Efficient COVID‐19 CT Scan Image Segmentation by Automatic Clustering Algorithm
BD Shivahare, SK Gupta - Journal of healthcare Engineering, 2022 - Wiley Online Library
This article addresses automated segmentation and classification of COVID‐19 and normal
chest CT scan images. Segmentation is the preprocessing step for classification, and 12 …
chest CT scan images. Segmentation is the preprocessing step for classification, and 12 …
Modified tumor diagnosis by classification and use of canonical correlation and support vector machines methods
H Samadi Ghoshchi, Y Pourasad - Scientia Iranica, 2022 - scientiairanica.sharif.edu
The main objective of this research is to investigate techniques for classifying tumor grades
based on image processing. The algorithms to classify tumors are introduced, and their …
based on image processing. The algorithms to classify tumors are introduced, and their …
Master slave configuration in robotic surgery through image processing
Seema, JS Saini, S Kumar - International Journal of …, 2023 - inderscienceonline.com
This paper introduces the implementation of a master-slave configuration setup for robotic
surgery. Image processing has been used for establishing the same. A hardware setup has …
surgery. Image processing has been used for establishing the same. A hardware setup has …
An anisotropically diffusible fuzzy clustering based image segmentation methodology for intracranial cyst detection
R Reeba Jennifer, A Albert Raj - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
An Intracranial cyst is an abnormal growth of mass in the brain that affects functioning of the
nervous system and so an early detection of the lesion enables to avoid adverse effects. The …
nervous system and so an early detection of the lesion enables to avoid adverse effects. The …
A Novel Hybrid Dehazing and Illumination based Approach for Preprocessing, Enhancement and Segmentation of Lung Images using Deep Learning
S Yadav, U Kumar - 2024 - researchsquare.com
Medical images are affected by various complications such as noise and deficient contrast.
To increase the quality of an image, it is highly important to increase the contrast and …
To increase the quality of an image, it is highly important to increase the contrast and …
Combining TernausNet and Attention Aware Faster RCNN For Brain Tumor Segmentation And Classification In MRI Images
Abstract currently, brain tumor segmentation and classification in MRI images based on
conventional preprocessing, feature extraction and classification methods are not sufficient …
conventional preprocessing, feature extraction and classification methods are not sufficient …