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.

Bibliografiset tiedot
Päätekijät:	Bin Mushfiq, Rahil, Zannah, Rafiatul, Bashar, Mubtasim, Alam, Md. Nafidul, Rahman, MD Aftabur
Muut tekijät:	Chakrabarty, Amitabha
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	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)
Linkit:	http://hdl.handle.net/10361/22671

Samankaltaisia teoksia

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

MoU between AIBS and BRACU
Tekijä: The Daily Star
Julkaistu: (2016)

Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
Tekijä: Tahamid, Abu
Julkaistu: (2021)

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

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

Violent activity detection through surveillance camera using deep learning
Tekijä: Miah, Parvez, et al.
Julkaistu: (2023)

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

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

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

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

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

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

Brain tumor segmentation from MRI images using convolutional neural networks
Tekijä: Khan, Mushfiqur Rahman
Julkaistu: (2024)

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

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

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

Brac University continues to support students amid pandemic
Tekijä: The Business Standard
Julkaistu: (2021)

Brac University ranks 3rd in University Rover Challenge
Tekijä: Dhaka Tribune
Julkaistu: (2020)

Banglalink signs MoU with Bracu to facilitate students’ skill development
Tekijä: Tribune Desk
Julkaistu: (2022)

BRAC University signs MoU with BFTI
Tekijä: The Financial Express
Julkaistu: (2022)

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

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

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

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

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

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