Enhancing eye disease classification through synergistic deep learning approaches

Enhancing eye disease classification through synergistic deep learning approaches

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

Bibliographic Details
Main Authors:	Rahaman, Asif, Mahamud, Shifat, Akter, Shanjida, Saha, Dipro, Fahad
Other Authors:	Rahman, Rafeed
Format:	Thesis
Language:	English
Published:	Brac University 2024
Subjects:	Hybrid structure Resnet50 VGG19 Multi-class classification Eye > Diseases Data mining
Online Access:	http://hdl.handle.net/10361/23550

Similar Items

A domain and noise adversarial bird tune classification pipeline using deep neural network
by: Riya, Aparna Sarker, et al.
Published: (2023)

Speech command classification based on deep neural networks
by: Hossain, Md. Sakib, et al.
Published: (2023)

Detecting brain tumor using deep neural networks from MRI images
by: Imamuzzaman, A.S.M., et al.
Published: (2021)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
by: Akhter, Nasrin
Published: (2023)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
by: Choudhury, Prionto Kumar, et al.
Published: (2024)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
by: Tasnim, Sadia, et al.
Published: (2023)

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

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
by: Hossain, Mohammad Sakib, et al.
Published: (2023)

Automatic waste classification using deep learning and computer vision techniques
by: Akash, MD., et al.
Published: (2023)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
by: Khisa, Pushpakali, et al.
Published: (2024)

Covid-19 infected lung detection using machine learning
by: Islam, Md. Muntaha, et al.
Published: (2022)

Skin lesion classification using different CNN models
by: Oli, Md. Yahea Sultan
Published: (2023)

Bone age comparison using convolutional neural network
by: Nawaz, Fariha, et al.
Published: (2019)

Bang-lish sentiment classification using deep learning
by: Saleheen, Abrar, et al.
Published: (2023)

Identifying brain abnormalities using image processing and CNN models
by: Talukder, Ismat Shehrin, et al.
Published: (2021)

Retinal Diseases Detection using Deep Learning
by: Mashfi, Shahriar, et al.
Published: (2023)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
by: Ismail, Sayem Mohammad, et al.
Published: (2021)

The role of primary and secondary packaging on the antibacterial activity of sunlight exposed synthetic and herbal eye drops
by: Lamisha, Fariha Zerin
Published: (2018)

Controlling android device with eye tracking
by: Hasan, Sakib, et al.
Published: (2017)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
by: Shahriar, Hasan, et al.
Published: (2022)

Segmentation based Kidney Tumor Classification using Deep Neural Network
by: Mehedi, Md Humaion Kabir, et al.
Published: (2022)

Willingness to pay for cataract surgeries among patients visiting eye care facilities in Dhaka, Bangladesh
by: Islam, Muhammed Nazmul, et al.
Published: (2022)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
by: Sarwar, Arafat, et al.
Published: (2023)

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

Deep learning-based waste classification system for efficient waste management
by: Nakib, Abdullah Al, et al.
Published: (2022)

Eagle i-Bot: an eye-controlled system
by: Md Khalilur, Rhaman, et al.
Published: (2016)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
by: Athina, Fahima Hasan, et al.
Published: (2022)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
by: Nag, Pollock, et al.
Published: (2023)

An efficient face recognition model using multiple angular images and deep neural network architecture
by: Subah, Silma, et al.
Published: (2024)

Home automation with eye-blink for paralyzed patients
by: Bose, Deep, et al.
Published: (2018)

Analyzing students’ concentration in online courses through Webcam
by: Asif, Md., et al.
Published: (2024)

An efficient approach for recyclable waste detection and classification using image processing techniques
by: Chowdhury, Prabal Kumar, 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)

Detection of coronary artery blockage at an early stage using effective deep learning technique
by: Promit, Tahmid Ashrafee, et al.
Published: (2023)

Detection of pneumonia from chest X-ray images using machine learning
by: Priya, Afsana Rahman, et al.
Published: (2023)

Fruit and vegetable freshness detection using deep learning
by: Haque, Md. Mahidul, et al.
Published: (2023)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
by: Farhan, Rafid, et al.
Published: (2024)

An interpretable deep learning approach to detect Alzheimer using MRI images
by: Oni, Farhan Anzum, et al.
Published: (2023)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
by: Sani, Mehedi Hasan, et al.
Published: (2022)

Citrus leaf disease detection by image processing
by: Chowdhury, Mahir Faisal, et al.
Published: (2024)