An efficient deep learning approach to detect neurodegenerative diseases using retinal images

An efficient deep learning approach to detect neurodegenerative diseases using retinal images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Detalhes bibliográficos
Main Authors:	Irfanuddin, Chowdhury Mohammad, Shafin, Wasique Islam, Ahmed, Koushik, Khan, Md. Hasib
Outros Autores:	Md. Ashraful, Alam
Formato:	Thesis
Idioma:	English
Publicado em:	Brac University 2023
Assuntos:	Neurodegenerative Multiple sclerosis Retinal images Deep learning Convolutional Neural Network Optical coherence tomography Cognitive learning theory Neural networks (Computer science) Optical images
Acesso em linha:	http://hdl.handle.net/10361/21954

Registos relacionados

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

Efficient image processing and machine learning approach for predicting retinal diseases
Por: Hasib, Mehadi Hasan, et al.
Publicado em: (2021)

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

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
Por: Datta, Pranab, et al.
Publicado em: (2021)

Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques
Por: Rahman, Fardin, et al.
Publicado em: (2024)

An efficient deep learning approach to detect skin Cancer
Por: Islam, Ashfaqul, et al.
Publicado em: (2022)

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

RetinalNet-500: a newly developed CNN model for eye disease detection
Por: Toki, Sadikul Alim, et al.
Publicado em: (2023)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
Por: Sharma, Tanmoyee, et al.
Publicado em: (2021)

Pneumonia Disease detection using the convolutional neural network
Por: Ashrafee, Md. Iftid, et al.
Publicado em: (2024)

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

Deep learning based early Glaucoma detection
Por: Islam, Aabrar, et al.
Publicado em: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
Por: Sakir, Adnan, et al.
Publicado em: (2023)

Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
Por: Peyal, Md. Mahmudul Kabir, et al.
Publicado em: (2021)

Detection of multiple sclerosis using deep learning
Por: Jannat, Sabila Al, et al.
Publicado em: (2021)

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

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

Anti-aliasing for real-time applications in 3D using deep convolutional neural network
Por: Siam, F. M. Jamius, et al.
Publicado em: (2021)

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

Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
Por: Uddin, Mohammad Sakib, et al.
Publicado em: (2024)

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

Image classification using deep neural network for efficient identification of traffic sign
Por: Saha, Sourajit
Publicado em: (2018)

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

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

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

Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
Por: Ahmed, Sarder Tanvir, et al.
Publicado em: (2024)

Detecting Deepfake images using deep convolutional neural network
Por: Dhar, Arpita, et al.
Publicado em: (2022)

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

An efficient deep learning approach to detect COVID-19 infected lungs using image data
Por: Kabir, Asif Rezwan, et al.
Publicado em: (2022)

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

Dynamic image analysis for abnormal behavior detection
Por: Ahmed, Md. Ashik, et al.
Publicado em: (2017)

Detection of skin cancer using Convolutional neural network
Por: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et al.
Publicado em: (2020)

Cancer classification using deep learning from medical image data
Por: Monir, Raiyan Janik, et al.
Publicado em: (2022)

Prostate cancer detection using deep learning neural network with transfer learning approach
Por: Badhon, Ariful Islam Mahmud, et al.
Publicado em: (2022)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
Por: Mubin, Kazi Ehsanul, et al.
Publicado em: (2022)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
Por: Fiona, Driciru, et al.
Publicado em: (2024)

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
Por: Hossain, Shah Md. Shakhawath, et al.
Publicado em: (2024)

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

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

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