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.

Bibliographic Details
Main Authors:	Hasib, Mehadi Hasan, Sultana, Tasnim, Chowdhury, Chandrika
Other Authors:	Alam, Md. Ashraful
Format:	Thesis
Language:	en_US
Published:	Brac University 2021
Subjects:	Image Processing Deep Learning Neural Network Convolutional Neural Network Artificial Neural Network Retinal Disease
Online Access:	http://dspace.bracu.ac.bd/xmlui/handle/10361/14451

Similar Items

An efficient deep learning approach to detect neurodegenerative diseases using retinal images
by: Irfanuddin, Chowdhury Mohammad, et al.
Published: (2023)

Pneumonia Disease detection using the convolutional neural network
by: Ashrafee, Md. Iftid, et al.
Published: (2024)

Classification of retinal diseases from OCT images using deep learning models
by: Mokarrom, Md Saif, et al.
Published: (2024)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
by: Khan, Farhan Sakib, et al.
Published: (2022)

Visual object recognition using deep convolutional neural network
by: Ahmed, Sabbir
Published: (2017)

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
by: Tasawar, Ihtyaz Kader, et al.
Published: (2021)

An efficient deep learning approach to detect skin Cancer
by: Islam, Ashfaqul, et al.
Published: (2022)

Crime scene prediction by detecting threatening objects using convolutional neural network
by: Nakib, Mohammad, et al.
Published: (2017)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
by: Ali, Syed Muaz
Published: (2023)

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
by: Bhuiyan, Mahdi Hasan, et al.
Published: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
by: Ferdous, Md.Rubaiat, et al.
Published: (2024)

A deep learning approach for prediction of ADHD using brain structure
by: Siam, Shafin Ahad, et al.
Published: (2024)

Plant leaf disease identification
by: Hasan Mahin, Mohammad Rakibul, et al.
Published: (2024)

Semantic text extraction from CAPTCHA using Neural Networking
by: Chowdhury, Iftekhar Kabir, et al.
Published: (2022)

An efficient deep learning approach to classify white blood cells
by: Turja, Afif Ibna Kadir Khan, et al.
Published: (2024)

Single and multi-view 2D image processing for enhanced 3D object reconstruction
by: Ghosh, Swapnil, et al.
Published: (2024)

An efficient ML approach to detect brain tumor using MRI images
by: Muktadir, MD. Arafat, et al.
Published: (2024)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
by: Mahbub, Riasat, et al.
Published: (2022)

Comparison of deep transfer learning models for cancer diagnosis
by: Joya, Nadia Islam, et al.
Published: (2023)

A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
by: Faisal, Asm, et al.
Published: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
by: Ifty, Md. Hasin Sarwar, et al.
Published: (2024)

A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
by: Gomes, Paul Richie, et al.
Published: (2021)

Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
by: Nabil, Sheikh MD. Nafis Noor, et al.
Published: (2024)

Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
by: Khan, Shama, et al.
Published: (2024)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
by: Rahman, Aryan, et al.
Published: (2023)

Image classification using deep neural network for efficient identification of traffic sign
by: Saha, Sourajit
Published: (2018)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
by: Sagor, Mostofa Kamal, et al.
Published: (2021)

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

Deep learning based early Glaucoma detection
by: Islam, Aabrar, et al.
Published: (2024)

Early detection of parkinson’s disease using image processing and artificial neural network
by: Rumman, Mosarrat, et al.
Published: (2018)

Leaf classification by feature extraction using CNN
by: Bhuiyan, Md. Mazharul Islam, et al.
Published: (2020)

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

PlantGuard: intelligent plant disease detection
by: Khanom, Nazifa
Published: (2024)

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

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

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

Tomato leaf disease detection using convolutional neural network
by: Hasan, Md. Riazul, et al.
Published: (2023)

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

Silent voice: harnessing deep learning for lip-reading in Bangla
by: Shaheen, Munia, et al.
Published: (2024)

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