Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Podrobná bibliografie
Hlavní autoři:	Datta, Pranab, Islam, Saniul, Das, Retuparna, Zabir, Mihiran Uddin
Další autoři:	Alam, Md. Golam Rabiul
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2021
Témata:	Machine Learning Image classification Artificial Intelligence Optical Coherence Tomography CNN Inception V3 Resnet50 VGG16 Xception Black Box LRP
On-line přístup:	http://hdl.handle.net/10361/15762

Podobné jednotky

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
Autor: Khan, Farhan Sakib, a další
Vydáno: (2022)

Retinal Diseases Detection using Deep Learning
Autor: Mashfi, Shahriar, a další
Vydáno: (2023)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
Autor: Shahriar, Hasan, a další
Vydáno: (2022)

An efficient deep learning approach to detect neurodegenerative diseases using retinal images
Autor: Irfanuddin, Chowdhury Mohammad, a další
Vydáno: (2023)

Diabetic retinopathy detection using machine learning
Autor: Maliha, Maisha, a další
Vydáno: (2018)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
Autor: Haque, Samiha, a další
Vydáno: (2021)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
Autor: Rahman, Afridi Ibn, a další
Vydáno: (2022)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
Autor: Sarmi, Kaniz Fatima, a další
Vydáno: (2022)

Brain tumor detection with convolutional neural network
Autor: Galib, Abrar Tahmid, a další
Vydáno: (2024)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
Autor: Hossain, Mohammad Sakib, a další
Vydáno: (2023)

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

Corn leaf disease detection using deep convolution neural network
Autor: Rabbi, Rawhatur, a další
Vydáno: (2023)

Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis
Autor: Anough, Ahmed Saquif Alam, a další
Vydáno: (2019)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
Autor: Athina, Fahima Hasan, a další
Vydáno: (2022)

RetinalNet-500: a newly developed CNN model for eye disease detection
Autor: Toki, Sadikul Alim, a další
Vydáno: (2023)

Heart disease prediction using machine learning algorithms
Autor: Ali, Musfiq, a další
Vydáno: (2019)

Classification of retinal diseases from OCT images using deep learning models
Autor: Mokarrom, Md Saif, a další
Vydáno: (2024)

Tomato leaf disease detection using convolutional neural network
Autor: Hasan, Md. Riazul, a další
Vydáno: (2023)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
Autor: Sakir, Adnan, a další
Vydáno: (2023)

Public vehicle ETA system using machine learning
Autor: Kabir, Md. Miraz, a další
Vydáno: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
Autor: Choudhury, Ahnaf Atef, a další
Vydáno: (2019)

Analysis of the impact of online education using EEG signals and machine learning algorithms
Autor: Hoque, Ehsanul, a další
Vydáno: (2021)

Demystifying black-box learning models of rumor detection from social media posts
Autor: Tafannum, Faiza, a další
Vydáno: (2021)

Explainable artificial intelligence and model calibration for water quality prediction
Autor: Hellen, Nakayiza
Vydáno: (2022)

Deep convolutional GAN-based data augmentation for medical image classification
Autor: Datta, Joy, a další
Vydáno: (2022)

Citrus leaf disease detection by image processing
Autor: Chowdhury, Mahir Faisal, a další
Vydáno: (2024)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
Autor: Toufique, S.M, a další
Vydáno: (2024)

Alumni opportunities using machine learning
Autor: Siaum, Arshif Sharlimin, a další
Vydáno: (2019)

Machine learning as an indicator for breast cancer prediction
Autor: Shadman, Tahsin Mohammed, a další
Vydáno: (2019)

Diabetic retinopathy detection and classification by using deep learning
Autor: Hossain, Shahriar, a další
Vydáno: (2022)

A secured federated learning system leveraging confidence score to identify retinal disease
Autor: Eshan, M Sakib Osman, a další
Vydáno: (2023)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
Autor: Ishrak, Gazi Hasin, a další
Vydáno: (2022)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
Autor: Shawan, Naveed Rahman, a další
Vydáno: (2019)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
Autor: Choudhury, Prionto Kumar, a další
Vydáno: (2024)

Observing mega cities to grow from space and predicting its growth using machine learning techniques
Autor: Chakma, Mitesh, a další
Vydáno: (2018)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
Autor: Alhossen, Md., a další
Vydáno: (2021)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
Autor: Ahmed, Sajjad
Vydáno: (2019)

Early detection of diabetic retinopathy using deep learning techniques
Autor: Gomes, Veronica Jessica, a další
Vydáno: (2022)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
Autor: Ferdous, Md.Rubaiat, a další
Vydáno: (2024)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
Autor: Fahim, Kaji Mehedi Hasan, a další
Vydáno: (2024)