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.

Xehetasun bibliografikoak
Egile Nagusiak:	Datta, Pranab, Islam, Saniul, Das, Retuparna, Zabir, Mihiran Uddin
Beste egile batzuk:	Alam, Md. Golam Rabiul
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	Machine Learning Image classification Artificial Intelligence Optical Coherence Tomography CNN Inception V3 Resnet50 VGG16 Xception Black Box LRP
Sarrera elektronikoa:	http://hdl.handle.net/10361/15762

Antzeko izenburuak

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

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

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

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

Diabetic retinopathy detection using machine learning
nork: Maliha, Maisha, et al.
Argitaratua: (2018)

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

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
nork: Rahman, Afridi Ibn, et al.
Argitaratua: (2022)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
nork: Sarmi, Kaniz Fatima, et al.
Argitaratua: (2022)

Brain tumor detection with convolutional neural network
nork: Galib, Abrar Tahmid, et al.
Argitaratua: (2024)

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

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

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

Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis
nork: Anough, Ahmed Saquif Alam, et al.
Argitaratua: (2019)

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

RetinalNet-500: a newly developed CNN model for eye disease detection
nork: Toki, Sadikul Alim, et al.
Argitaratua: (2023)

Heart disease prediction using machine learning algorithms
nork: Ali, Musfiq, et al.
Argitaratua: (2019)

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

Tomato leaf disease detection using convolutional neural network
nork: Hasan, Md. Riazul, et al.
Argitaratua: (2023)

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

Public vehicle ETA system using machine learning
nork: Kabir, Md. Miraz, et al.
Argitaratua: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
nork: Choudhury, Ahnaf Atef, et al.
Argitaratua: (2019)

Analysis of the impact of online education using EEG signals and machine learning algorithms
nork: Hoque, Ehsanul, et al.
Argitaratua: (2021)

Demystifying black-box learning models of rumor detection from social media posts
nork: Tafannum, Faiza, et al.
Argitaratua: (2021)

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

Deep convolutional GAN-based data augmentation for medical image classification
nork: Datta, Joy, et al.
Argitaratua: (2022)

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

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
nork: Toufique, S.M, et al.
Argitaratua: (2024)

Alumni opportunities using machine learning
nork: Siaum, Arshif Sharlimin, et al.
Argitaratua: (2019)

Machine learning as an indicator for breast cancer prediction
nork: Shadman, Tahsin Mohammed, et al.
Argitaratua: (2019)

Diabetic retinopathy detection and classification by using deep learning
nork: Hossain, Shahriar, et al.
Argitaratua: (2022)

A secured federated learning system leveraging confidence score to identify retinal disease
nork: Eshan, M Sakib Osman, et al.
Argitaratua: (2023)

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

Chronic kidney disease detection using ensemble classi ers and feature set reduction
nork: Shawan, Naveed Rahman, et al.
Argitaratua: (2019)

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

Observing mega cities to grow from space and predicting its growth using machine learning techniques
nork: Chakma, Mitesh, et al.
Argitaratua: (2018)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
nork: Alhossen, Md., et al.
Argitaratua: (2021)

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

Early detection of diabetic retinopathy using deep learning techniques
nork: Gomes, Veronica Jessica, et al.
Argitaratua: (2022)

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

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
nork: Fahim, Kaji Mehedi Hasan, et al.
Argitaratua: (2024)