Artificial Intelligence Based Examination of the Field of Ophthalmology-Reference-Cited by-同舟云学术

Artificial Intelligence Based Examination of the Field of Ophthalmology

Published:2023-12-01 Issue: Volume:19 Page:1617-1623
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Container-title:2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Bhargavi V.Sesha¹,Selvaraj Krishnamoorthy²,Koti Valli Madhavi³,Maheshwari Rajeev Kumar⁴,RadhaMahendran S.⁵,Chandra Sukumar⁶

Affiliation:

1. G Narayanamma Institute of Technology & Science,Department of Information Technology,Shaikpet,Hyderabad

2. Department of ERP,Keller

3. GIET Degree College,Department of Computer Science,Rajahmundry,Andhra Pradesh

4. R D Engineering College,Computer Science&Engg. Dept.,Ghaziabad

5. School of Life Sciences, Vels Institute of Science Technology and Advanced Studies (VISTAS),Department of Bioinformatics,Chennai-117,India

6. Pingla Thana Mahavidyalaya,Department of Physics,Medinipur,West Bengal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433942/10434287/10434747.pdf?arnumber=10434747

Reference39 articles.

1. Deep learning-based tumor segmentation on digital images of histopathology slides for microdosimetry applications;Luca Leon;arXiv: Medical Physics,2021

2. DeepTrac: Applying Artificial Intelligence in Plant Disease Detection

3. Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network

4. Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis;Jia;Cardiovascular Ultrasound,2021

5. Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion