An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM

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

Manylion Llyfryddiaeth
Prif Awduron:	Bhuiyan, Mahdi Hasan, Haldar, Sumit, Chowdhury, Maisha Shabnam, Bushra, Nazifa, Jilan, Tahsin Zaman
Awduron Eraill:	Alam, Md. Ashraful
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2024
Pynciau:	Disease detection Ocular diseases screening GradCAM Deep learning Vision transformers Retinal diseases Neural networks (Computer science) Eye > Diseases Deep learning (Machine learning)
Mynediad Ar-lein:	http://hdl.handle.net/10361/22888

Eitemau Tebyg

Classification of retinal diseases from OCT images using deep learning models
gan: Mokarrom, Md Saif, et al.
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Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
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An interpretable transformer based approach to classify Malaria from blood cell images
gan: Islam, Mehafuza, et al.
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Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
gan: Choudhury, Prionto Kumar, et al.
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RetinalNet-500: a newly developed CNN model for eye disease detection
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Cyhoeddwyd: (2023)

Deep learning-based waste classification system for efficient waste management
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Cyhoeddwyd: (2022)

Deep Learning based Medicinal Plants Leaf Recognition
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Microneedle mediated approaches in Ocular drug delivery
gan: Ahmed, Tanvir
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Diabetic retinopathy detection using machine learning
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Cyhoeddwyd: (2018)

An efficient deep learning approach to detect citrus leaves disease
gan: Emon, Shaharear Hossain, et al.
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Plant leaf disease identification
gan: Hasan Mahin, Mohammad Rakibul, et al.
Cyhoeddwyd: (2024)

An implementation and analysis of deep learning models for the detection of wheat diseases
gan: Zubair, Ahmad, et al.
Cyhoeddwyd: (2024)

Exploring machine learning techniques for symptom-based detection of livestock diseases
gan: Niloy, Mahir Ahmed, et al.
Cyhoeddwyd: (2024)

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

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
gan: Kobra, Khadija-Tul, et al.
Cyhoeddwyd: (2022)

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

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
gan: Sagor, Mostofa Kamal, et al.
Cyhoeddwyd: (2021)

An interpretable deep learning approach to detect Alzheimer using MRI images
gan: Oni, Farhan Anzum, et al.
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Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
gan: Datta, Nirjhor, et al.
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Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
gan: Ifty, Md. Hasin Sarwar, et al.
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Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
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Heart disease prediction using machine learning algorithms
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Cyhoeddwyd: (2019)

Violent activity detection through surveillance camera using deep learning
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Cyhoeddwyd: (2023)

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
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Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
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CattleSavior: towards implementing an advanced external disease detection system through deep learning
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An efficient deep learning approach for detecting Alzheimer’s disease using brain images
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Cyhoeddwyd: (2022)

Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
gan: Haque, Adiba, et al.
Cyhoeddwyd: (2022)

Nursing care in eye, ear, nose, and throat disorders
Cyhoeddwyd: (1974)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
gan: Fiona, Driciru, et al.
Cyhoeddwyd: (2024)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
gan: Khan, Ibrahim
Cyhoeddwyd: (2023)

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

Application of deep learning in MRI classification of Schizophrenia
gan: Joyee, Ramisa Fariha, et al.
Cyhoeddwyd: (2024)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
gan: Radiah, Faiza, et al.
Cyhoeddwyd: (2024)

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

Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
gan: Jahan, Asif
Cyhoeddwyd: (2024)

Machine learning approach for ECG analysis and predicting different heart diseases
gan: Tithi, Sushmita Roy, et al.
Cyhoeddwyd: (2019)

Comparison of machine learning techniques to predict cardiovascular disease
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Cyhoeddwyd: (2019)

Thoracic complication detection on chest X-rays using deep learning
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Cyhoeddwyd: (2021)