Glaucoma Detection Approach based on Colour Fundus Pictures DOI

Roshni Afshan,

Ashish Kumar Chakraverti, Megha Chhabra

et al.

2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), Journal Year: 2024, Volume and Issue: unknown, P. 87 - 92

Published: Feb. 28, 2024

Glaucoma is a common retinal disorder that has an impact on the optic nerve, resulting in irreversible sight loss if left untreated. Although early detection crucial for optimal management, manual difficult and needs highly competent ophthalmologists. To overcome this issue, study Employ Convolutional Neural Networks (CNNs) further deep learning techniques, to detect glaucoma automatically. The employs standardization technique dataset of 5000 pictures ensure all images are uniform at $256\times 256$ pixels. Data augmentation techniques such as rescaling, rotation, vertical horizontal shifts used consistently improve variety model resilience. MobileNetV3 architecture detection, two optimizers, Stochastic Gradient Descent (SGD) Adam during training. Pre-processing refines incoming by turning them greyscale, adding Gaussian noise, ensuring pixel values inside [0, 255] range. Accuracy, precision, recall, specificity, F-measure part performance evaluation. Comparative analyses evaluate suggested model's efficacy, assuring its dependability quality. results show proficient detecting due excellent classification accuracy. This work improves automated perhaps assisting diagnosis treatment, so protecting patients from irreparable vision caused "silent thief vision."

Language: Английский

LP norm regularized deep CNN classifier based on biwolf optimization for mitosis detection in histopathology images DOI

Jithy Varghese,

J. S. Saleema

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: 16(6), P. 3517 - 3536

Published: June 12, 2024

Language: Английский

Citations

1
VDRNet19: a dense residual deep learning model using stochastic gradient descent with momentum optimizer based on VGG-structure for classifying dementia DOI

M. Pandiyarajan,

R. S. Valarmathi

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 23, 2024

Language: Английский

Citations

1
SwinGALE: fusion of swin transformer and attention mechanism for GAN-augmented liver tumor classification with enhanced deep learning DOI

Sumash Chandra Bandaru,

G Bharathi Mohan,

R Prasanna Kumar

et al.

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 21, 2024

Language: Английский

Citations

1
Empowering Assets and Vehicles with Cutting-Edge ESP32 Real-Time Tracking System DOI
Bhawna Goyal,

Krishna Kant Dixit,

Ayush Dogra

et al.

2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), Journal Year: 2024, Volume and Issue: unknown, P. 504 - 509

Published: Feb. 28, 2024

In today's fast-paced world, the need for real-time tracking technology has grown more and significant, particularly assets vehicles. The goal of this project is to equip vehicles with a cutting-edge system based on ESP32. To effectively track monitor or vehicles, combines an ESP32 Wi-Fi board, GPS Neo module, SIM800 battery power source. This create cars For effective monitoring, comprises supply. While module enables precise location, handles wireless communication processing. Innovative cellular connectivity made possible remote monitoring by inclusion module. source ensures continuous operation. research demonstrates how these elements may be combined produce modern that will useful applications in asset management, transportation, security. Numerous advantages come suggested ESP32-based system, including increased security, improved logistical operations. It makes it people companies keep whereabouts condition their instantly, enabling proactive decision-making, resource allocation, general operational efficiency improvements.

Language: Английский

Citations

0
Glaucoma Detection Approach based on Colour Fundus Pictures DOI

Roshni Afshan,

Ashish Kumar Chakraverti, Megha Chhabra

et al.

2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), Journal Year: 2024, Volume and Issue: unknown, P. 87 - 92

Published: Feb. 28, 2024

Glaucoma is a common retinal disorder that has an impact on the optic nerve, resulting in irreversible sight loss if left untreated. Although early detection crucial for optimal management, manual difficult and needs highly competent ophthalmologists. To overcome this issue, study Employ Convolutional Neural Networks (CNNs) further deep learning techniques, to detect glaucoma automatically. The employs standardization technique dataset of 5000 pictures ensure all images are uniform at $256\times 256$ pixels. Data augmentation techniques such as rescaling, rotation, vertical horizontal shifts used consistently improve variety model resilience. MobileNetV3 architecture detection, two optimizers, Stochastic Gradient Descent (SGD) Adam during training. Pre-processing refines incoming by turning them greyscale, adding Gaussian noise, ensuring pixel values inside [0, 255] range. Accuracy, precision, recall, specificity, F-measure part performance evaluation. Comparative analyses evaluate suggested model's efficacy, assuring its dependability quality. results show proficient detecting due excellent classification accuracy. This work improves automated perhaps assisting diagnosis treatment, so protecting patients from irreparable vision caused "silent thief vision."

Language: Английский

Citations

0