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.

Dettagli Bibliografici
Autori principali:	Irfanuddin, Chowdhury Mohammad, Shafin, Wasique Islam, Ahmed, Koushik, Khan, Md. Hasib
Altri autori:	Md. Ashraful, Alam
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Neurodegenerative Multiple sclerosis Retinal images Deep learning Convolutional Neural Network Optical coherence tomography Cognitive learning theory Neural networks (Computer science) Optical images
Accesso online:	http://hdl.handle.net/10361/21954

Documenti analoghi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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