Classification of retinal diseases from OCT images using deep learning models

Classification of retinal diseases from OCT images using deep learning models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Dettagli Bibliografici
Autori principali:	Mokarrom, Md Saif, Shuvo, Md Anonto, Oyon, Nazmul Hasan, Munaja, Rifha Hossain, Roy, Soumik
Altri autori:	Alam, Md. Ashraful
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	GradCAM Convolutional neural network Retina classification Machine learning > Medical applications Diagnostic imaging > Data processing Neural networks (Computer science) Deep learning (Machine learning)
Accesso online:	http://hdl.handle.net/10361/22885

Documenti analoghi

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

Deep Learning based Medicinal Plants Leaf Recognition
di: Mahalanabish, Tonusri
Pubblicazione: (2023)

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

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

An interpretable transformer based approach to classify Malaria from blood cell images
di: Islam, Mehafuza, et al.
Pubblicazione: (2023)

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

Visual object classification from fMRI data
di: Newaz, Syed Mishar, et al.
Pubblicazione: (2022)

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

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
di: Datta, Nirjhor, et al.
Pubblicazione: (2024)

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

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
di: Bhuiyan, Abir Ahammed, et al.
Pubblicazione: (2024)

Human Activity Recognition using wearable body sensor by machine learning approach
di: Promi, Sadia Tangim, et al.
Pubblicazione: (2020)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
di: Mim, Ankhi Akter, et al.
Pubblicazione: (2024)

A machine learning approach to detect DeepFake videos
di: Hassan, Md. Mahedi, et al.
Pubblicazione: (2021)

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

Skin cancer classification for seven types of skin lesions
di: Rahman, Md. Tawsifur, et al.
Pubblicazione: (2024)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
di: Haque, Samiha, et al.
Pubblicazione: (2021)

Learning a deep neural network for predicting phishing website
di: Das, Robat, et al.
Pubblicazione: (2019)

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

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

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

Crop prediction based on geographical and climatic data using machine learning and deep learning
di: Alif, Al Amin, et al.
Pubblicazione: (2019)

Towards solving perception based autonomous driving assistant system
di: Hossain, Md. Arafat, et al.
Pubblicazione: (2022)

Using deep learning algorithms to detect violent activities
di: Ammar, S.M. Rojin, et al.
Pubblicazione: (2019)

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

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
di: Ahmed, Istiak, et al.
Pubblicazione: (2023)

Classification of peripheral blood cell images using deep learning
di: Aadi, Oyshik Ahmed, et al.
Pubblicazione: (2024)

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

Violent activity detection through surveillance camera using deep learning
di: Miah, Parvez, et al.
Pubblicazione: (2023)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
di: Islam, Roman, et al.
Pubblicazione: (2024)

Silent voice: harnessing deep learning for lip-reading in Bangla
di: Shaheen, Munia, et al.
Pubblicazione: (2024)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
di: Khilji, Ishfaque Qamar, et al.
Pubblicazione: (2021)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
di: Ishrak, Gazi Hasin, et al.
Pubblicazione: (2022)

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

Leveraging sequential deep learning models for detecting multitude of human action categories
di: Pranta, Kazi Al Refat, 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)

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

Crowd source based traffic analysis using machine learning algorithm
di: Orthy, Marzia Khan, et al.
Pubblicazione: (2018)

An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
di: Pasha, Maroof Ur Rahman
Pubblicazione: (2016)

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