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.

Detalles Bibliográficos
Autores principales:	Irfanuddin, Chowdhury Mohammad, Shafin, Wasique Islam, Ahmed, Koushik, Khan, Md. Hasib
Otros Autores:	Md. Ashraful, Alam
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2023
Materias:	Neurodegenerative Multiple sclerosis Retinal images Deep learning Convolutional Neural Network Optical coherence tomography Cognitive learning theory Neural networks (Computer science) Optical images
Acceso en línea:	http://hdl.handle.net/10361/21954

Ejemplares similares

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

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

Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
por: Nabil, Sheikh MD. Nafis Noor, et al.
Publicado: (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: (2021)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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