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.

Dettagli Bibliografici
Autori principali:	Hasib, Mehadi Hasan, Sultana, Tasnim, Chowdhury, Chandrika
Altri autori:	Alam, Md. Ashraful
Natura:	Tesi
Lingua:	en_US
Pubblicazione:	Brac University 2021
Soggetti:	Image Processing Deep Learning Neural Network Convolutional Neural Network Artificial Neural Network Retinal Disease
Accesso online:	http://dspace.bracu.ac.bd/xmlui/handle/10361/14451

Documenti analoghi

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

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

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

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

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

Visual object recognition using deep convolutional neural network
di: Ahmed, Sabbir
Pubblicazione: (2017)

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

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

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)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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)

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

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

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

PlantGuard: intelligent plant disease detection
di: Khanom, Nazifa
Pubblicazione: (2024)

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

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

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

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

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

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

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

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
di: Ishrak, Gazi Hasin, 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 Brain Tumor using MRI images
di: Islam, Annur Tasnim, et al.
Pubblicazione: (2022)

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