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.

Bibliographische Detailangaben
Hauptverfasser:	Mokarrom, Md Saif, Shuvo, Md Anonto, Oyon, Nazmul Hasan, Munaja, Rifha Hossain, Roy, Soumik
Weitere Verfasser:	Alam, Md. Ashraful
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	GradCAM Convolutional neural network Retina classification Machine learning > Medical applications Diagnostic imaging > Data processing Neural networks (Computer science) Deep learning (Machine learning)
Online Zugang:	http://hdl.handle.net/10361/22885

Ähnliche Einträge

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

Deep Learning based Medicinal Plants Leaf Recognition
von: Mahalanabish, Tonusri
Veröffentlicht: (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Corn leaf disease detection using deep convolution neural network
von: Rabbi, Rawhatur, et al.
Veröffentlicht: (2023)

Bangali Handwritten characters classification using Deep Convolutional Neural Network
von: Sikder, Shihab Uddin, et al.
Veröffentlicht: (2022)

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

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

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

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

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

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

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

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

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

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

Bangla text classification using machine learning and deep learning techniques
von: Salehin, Kamrus, et al.
Veröffentlicht: (2021)

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

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

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
von: Farabi, Farhan, et al.
Veröffentlicht: (2023)

Leveraging sequential deep learning models for detecting multitude of human action categories
von: Pranta, Kazi Al Refat, et al.
Veröffentlicht: (2024)

A machine learning approach to predict movie box-office success
von: Quader, Nahid, et al.
Veröffentlicht: (2018)

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