A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images

A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografische gegevens
Hoofdauteurs:	Bin Mushfiq, Rahil, Zannah, Rafiatul, Bashar, Mubtasim, Alam, Md. Nafidul, Rahman, MD Aftabur
Andere auteurs:	Chakrabarty, Amitabha
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2024
Onderwerpen:	Dental Semantic segmentation Data annotation OPG image U-net U-net variants Dice coefficient IoU Architecture comparison Deep learning (Machine learning) Cognitive learning theory (Deep learning)
Online toegang:	http://hdl.handle.net/10361/22671

Gelijkaardige items

Semantic segmentation with attention dense U-net for lung extraction from X-ray images
door: Auvy, Akib Al Mahmud, et al.
Gepubliceerd in: (2023)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
door: Sharma, Tanmoyee, et al.
Gepubliceerd in: (2021)

Density based traffic control system for a four way intersection
door: Chowdhury, Faizul Bari, et al.
Gepubliceerd in: (2024)

Ejection fraction estimation using deep semantic segmentation neural network on 2D Echocardiography data
door: Khan, Abde Musavvir, et al.
Gepubliceerd in: (2021)

Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
door: Farzana, Maisha, et al.
Gepubliceerd in: (2021)

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

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

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

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

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
door: Tasnim, Sadia, et al.
Gepubliceerd in: (2023)

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

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

Deep learning-based real-time pothole detection for avoiding road accident
door: Basher, Rafsan, et al.
Gepubliceerd in: (2022)

Automatic brain tumor segmentation using U-ResUNet chain model approach
door: Alam, Mohd Tanjeem, et al.
Gepubliceerd in: (2022)

U.S.-Berkeley launches 1st Bangladesh studies center in U.S.
door: IndiaWest
Gepubliceerd in: (2015)

MoU between AIBS and BRACU
door: The Daily Star
Gepubliceerd in: (2016)

Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
door: Tahamid, Abu
Gepubliceerd in: (2021)

A comparative study of lung cancer prediction using deep learning
door: Mugdho, Aka Mohammad, et al.
Gepubliceerd in: (2023)

Citrus leaf disease detection by image processing
door: Chowdhury, Mahir Faisal, et al.
Gepubliceerd in: (2024)

Violent activity detection through surveillance camera using deep learning
door: Miah, Parvez, et al.
Gepubliceerd in: (2023)

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

Diabetic retinopathy detection and classification by using deep learning
door: Hossain, Shahriar, et al.
Gepubliceerd in: (2022)

A modern technique to detect potholes by Computer Vision and Deep Learning
door: Saif, Muntasir Mahmud, et al.
Gepubliceerd in: (2023)

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

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

An active-learning based training-schedule for biomedical image segmentation on deep neural networks
door: Hassan, Mehadi, et al.
Gepubliceerd in: (2021)

Brain tumor segmentation from MRI images using convolutional neural networks
door: Khan, Mushfiqur Rahman
Gepubliceerd in: (2024)

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

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

Damaged road detection using Image Processing and Deep Learning
door: Swadesh, Shimran Mahbub, et al.
Gepubliceerd in: (2022)

Brac University continues to support students amid pandemic
door: The Business Standard
Gepubliceerd in: (2021)

Brac University ranks 3rd in University Rover Challenge
door: Dhaka Tribune
Gepubliceerd in: (2020)

Banglalink signs MoU with Bracu to facilitate students’ skill development
door: Tribune Desk
Gepubliceerd in: (2022)

BRAC University signs MoU with BFTI
door: The Financial Express
Gepubliceerd in: (2022)

Application of CNN based architectures in detection of distracted drivers
door: Arafin, Irfana, et al.
Gepubliceerd in: (2023)

Automated overtaking assistance system: a real-time approach using deep learning techniques
door: Moonjarin, Musarrat, et al.
Gepubliceerd in: (2023)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
door: Hasan, M. M. Kamrul, et al.
Gepubliceerd in: (2022)

U-net Based Autonomous Fetal Segmentation From 2D and 3D Ultrasound Images
door: Mithila, Maliha Tabassum, et al.
Gepubliceerd in: (2022)

Skin disease detection and classification using deep learning
door: Shuvon, Mehedi Hasan, et al.
Gepubliceerd in: (2022)

An efficient deep learning approach to detect skin Cancer
door: Islam, Ashfaqul, et al.
Gepubliceerd in: (2022)