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Victor Ikechukwu Agughasi
Victor Ikechukwu Agughasi
Research Scholar, MIT Mysore-India
Verified email at mitmysore.in - Homepage
Title
Cited by
Cited by
Year
ResNet-50 vs VGG-19 vs Training from Scratch: A comparative analysis of the segmentation and classification of Pneumonia from chest x-ray images
Agughasi Victor Ikechukwu, Murali S, Deepu R
Global Transitions Proceedings, 2021
1222021
ResNet-50 vs VGG-19 vs training from scratch: A comparative analysis of the segmentation and classification of Pneumonia from chest X-ray images
A Victor Ikechukwu, S Murali, R Deepu, RC Shivamurthy
Global Transitions Proceedings 2 (2), 375-381, 2021
222021
CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis
AV Ikechukwu, S Murali
Machine Learning: Science and Technology 4 (2), 025021, 2023
112023
i-Net: a deep CNN model for white blood cancer segmentation and classification
Agughasi Victor Ikechukwu, Murali S
International Journal of Advanced Technology and Engineering Exploration …, 2022
11*2022
Semi-supervised labelling of chest x-ray images using unsupervised clustering for ground-truth generation
Agughasi Victor Ikechukwu, Murali S
Applied Engineering and Technology 2 (3), 188-202, 2023
42023
EXPLAINABLE DEEP LEARNING MODEL FOR COVID-19 DIAGNOSIS
Agughasi Victor Ikechukwu, Sreyas P, Ahammed Sena, Preetham HM, Raksha KM
International Research Journal of Modernization in Engineering Technology …, 2022
4*2022
COPDNet: An Explainable ResNet50 Model for the Diagnosis of COPD from CXR Images
AV Ikechukwu, S Murali, B Honnaraju
2023 IEEE 4th Annual Flagship India Council International Subsections …, 2023
32023
Resnet-50 Vs VGG-19 Vs Training from Scratch: A Comparative Analysis of The Segmentation and Classification of Pneumonia from Chest X-Ray Images. Global Transitions Proceedings …
AV IKECHUKWU, S Murali, R Deepu, RC Shivamurthy
32021
Semi-supervised labelling of chest x-ray images using unsupervised clustering for ground-truth generation
AV Ikechukwu, M Srinivasiah
1
Global Transitions Proceedings
AV Ikechukwu, S Murali, R Deepu, RC Shivamurthy
1
Energy-efficient deep Q-network: reinforcement learning for efficient routing protocol in wireless internet of things
AV Ikechukwu, S Bhimshetty
Indonesian Journal of Electrical Engineering and Computer Science 33 (2 …, 2024
2024
Machine Learning for Health (ML4H) 2023
S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ...
Machine Learning for Health (ML4H), 1-12, 2023
2023
xAI: An Explainable AI Model for the Diagnosis of COPD from CXR Images
Agughasi Victor Ikechukwu, Murali S
2023 IEEE 2nd International Conference on Data, Decision and Systems (ICDDS …, 2023
2023
A fine-tuned Deep Learning model for Medical Image Segmentation
Agughasi Victor Ikechukwu, Murali S, Prithvi Raj G. D
International Journal of Advanced Research in Computer and Communication …, 2021
2021
Early Prognosis of Heart Failure from Clinical Symptoms using K-Means and Naïve Bayes Algorithms
Agughasi Victor Ikechukwu, Yashashwini DK Snehil Das M
International Journal of Advanced Research in Computer and Communication …, 2020
2020
Diagnosis of Chronic Kidney Disease using Naïve Bayes algorithm Supported by Stage Prediction using eGFR
Agughasi Victor Ikechukwu, Nivedha K, Prakruthi NM, Fathima Farheen, Harini ...
2020
AMAL RAJ
A Kotal, BS Manoj, CS Kumar, D Basu, AA Kumar, B Shakila, CLP Gupta, ...
Leveraging Transfer Learning for Efficient Diagnosis of Copd Using Cxr Images and Explainable Ai Techniques
VI Agughasi
Available at SSRN 4637433, 0
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