Diabetic retinopathy detection and classification by using deep learning

Diabetic retinopathy detection and classification by using deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliografiska uppgifter
Huvudupphovsmän:	Hossain, Shahriar, Evan, Md. Nurusshafi, Farhin, Fariya Zakir, Nabil, Mashrur Karim, Sadman, Sameen
Övriga upphovsmän:	Chakrabarty, Amitabha
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2022
Ämnen:	Convolutional neural network Deep learning Diabetic retinopathy InceptionV3 Xception DenseNet-169 Cognitive learning theory (Deep learning) Neural networks (Computer science)
Länkar:	http://hdl.handle.net/10361/16810

Liknande verk

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

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

A deep learning approach towards soft biometrics attributes prediction using CNN
av: Kibria, Maharab, et al.
Publicerad: (2022)

Gender classification in Bangla language using deep learning-based voice analysis
av: Hakim, Talukder Juhaer, et al.
Publicerad: (2024)

Thoracic complication detection on chest X-rays using deep learning
av: Ratul, Rizwanul Hoque, et al.
Publicerad: (2021)

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

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

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

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
av: Khisa, Pushpakali, et al.
Publicerad: (2024)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
av: Promita, Samanta Tabassum, et al.
Publicerad: (2022)

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

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
av: Ismail, Sayem Mohammad, et al.
Publicerad: (2021)

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

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

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

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

Skin disease detection and classification using deep learning
av: Shuvon, Mehedi Hasan, et al.
Publicerad: (2022)

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

Detection of coronary artery blockage at an early stage using effective deep learning technique
av: Promit, Tahmid Ashrafee, et al.
Publicerad: (2023)

Pest detection system using machine learning techniques
av: Prithvi, Protyusha Barua, et al.
Publicerad: (2022)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
av: Reza, S. M. Mushfiq, et al.
Publicerad: (2024)

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

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

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

Predicting crime using deep learning
av: Shihab, Muhammad Nafees, et al.
Publicerad: (2024)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
av: Ashraf, S.M. Nabil, et al.
Publicerad: (2021)

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

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

Analysis of uncertainty in different neural network structures using monte carlo dropout
av: Islam, Md. Farhadul, et al.
Publicerad: (2024)

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
av: Nazmee, Namirah, et al.
Publicerad: (2024)

An efficient deep learning approach to detect skin cancer using image data
av: Chowdhury, Yaser Al Rahman, et al.
Publicerad: (2023)

Intracranial hemorrhage detection using CNN-LSTM fusion model
av: Ahmed, Kazi sabab, et al.
Publicerad: (2022)

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
av: Chowdhury, Asif Hasan, et al.
Publicerad: (2023)

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

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
av: Ahasan, Md. Mubtasim, et al.
Publicerad: (2022)

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

Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
av: Islam, Md. Farhadul, et al.
Publicerad: (2024)

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

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

Visual object recognition using deep convolutional neural network
av: Ahmed, Sabbir
Publicerad: (2017)