Efficient image processing and machine learning approach for predicting retinal diseases

Efficient image processing and machine learning approach for predicting retinal diseases

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Manylion Llyfryddiaeth
Prif Awduron:	Hasib, Mehadi Hasan, Sultana, Tasnim, Chowdhury, Chandrika
Awduron Eraill:	Alam, Md. Ashraful
Fformat:	Traethawd Ymchwil
Iaith:	en_US
Cyhoeddwyd:	Brac University 2021
Pynciau:	Image Processing Deep Learning Neural Network Convolutional Neural Network Artificial Neural Network Retinal Disease
Mynediad Ar-lein:	http://dspace.bracu.ac.bd/xmlui/handle/10361/14451

Eitemau Tebyg

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Classification of retinal diseases from OCT images using deep learning models
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An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
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Visual object recognition using deep convolutional neural network
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A deep learning approach for prediction of ADHD using brain structure
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An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
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Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
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An efficient deep learning approach to classify white blood cells
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An efficient ML approach to detect brain tumor using MRI images
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An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
gan: Bhuiyan, Mahdi Hasan, et al.
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Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
gan: Ferdous, Md.Rubaiat, et al.
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A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
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Crime scene prediction by detecting threatening objects using convolutional neural network
gan: Nakib, Mohammad, et al.
Cyhoeddwyd: (2017)

Semantic text extraction from CAPTCHA using Neural Networking
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Plant leaf disease identification
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Cyhoeddwyd: (2024)

Single and multi-view 2D image processing for enhanced 3D object reconstruction
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Cyhoeddwyd: (2024)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
gan: Mahbub, Riasat, et al.
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Comparison of deep transfer learning models for cancer diagnosis
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Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
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A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
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A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
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Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
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An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
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Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
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Image classification using deep neural network for efficient identification of traffic sign
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Early detection of parkinson’s disease using image processing and artificial neural network
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PlantGuard: intelligent plant disease detection
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Deep learning based early Glaucoma detection
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Leaf classification by feature extraction using CNN
gan: Bhuiyan, Md. Mazharul Islam, et al.
Cyhoeddwyd: (2020)

An efficient deep learning approach to detect skin cancer using image data
gan: Chowdhury, Yaser Al Rahman, et al.
Cyhoeddwyd: (2023)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
gan: Reza, S. M. Mushfiq, et al.
Cyhoeddwyd: (2024)

Classification of different magnetic structures from image data using deep neural networks
gan: Ibn Hasib, Fahad, et al.
Cyhoeddwyd: (2023)

A comparative analysis of the different CNN-LSTM model caption generation of medical images
gan: Amin, Mahzabin Yasmin Binte, et al.
Cyhoeddwyd: (2023)

Detection of handwritten text using convolutional neural network
gan: Jasim, Rabib Bin, et al.
Cyhoeddwyd: (2024)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
gan: Ishrak, Gazi Hasin, et al.
Cyhoeddwyd: (2022)

Exploring deep features: deeper fully convolutional neural network for image segmentation
gan: Kamran, Sharif Amit, et al.
Cyhoeddwyd: (2017)

An Efficient deep learning approach to detect Brain Tumor using MRI images
gan: Islam, Annur Tasnim, et al.
Cyhoeddwyd: (2022)

A supervised machine learning approach to predict vulnerability to drug addiction
gan: Faisal, Fahim, et al.
Cyhoeddwyd: (2020)