Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021

书目详细资料
Main Authors:	Sharma, Tanmoyee, Tabassum, Zaharat, Banik, Ritu, Rahman, S.M.Arifur
其他作者:	Mohsin, Abu S.M.
格式:	Thesis
语言:	English
出版:	Brac University 2021
主题:	Image segmentation U-Net++ Optical images Deep learning architecture Machine learning Artificial intelligence
在线阅读:	http://hdl.handle.net/10361/15142

相似书籍

A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images
由: Bin Mushfiq, Rahil, et al.
出版: (2024)

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

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

Exploring deep features: deeper fully convolutional neural network for image segmentation
由: Kamran, Sharif Amit, et al.
出版: (2017)

Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
由: Mollah, Md. Shawon, et al.
出版: (2024)

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

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

Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
由: Mizan, Mubasshira, et al.
出版: (2024)

3D Brain image segmentation using 3D tiled convolution neural networks
由: Haque, Md Mahibul, et al.
出版: (2024)

Structurally and semantically coherent deep image inpainting
由: Sami, Mirza Tanzim, et al.
出版: (2019)

Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
由: Farha, Ramisa, et al.
出版: (2022)

Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
由: Ahmed, Yasin, et al.
出版: (2018)

Early detection, segmentation and quantification of coronary artery blockage using efficient image processing technique
由: Shakir, Mohsinul Bari, et al.
出版: (2018)

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

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

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

Leveraging unsupervised segmentation for semi-supervised renal calculi and carcinoma segmentation and classification
由: Faruk, Farhan, et al.
出版: (2024)

Deep learning based medical X-ray image recognition and classification
由: Khan, Md. Rakib Hossain
出版: (2019)

Detecting Deepfake images using deep convolutional neural network
由: Dhar, Arpita, et al.
出版: (2022)

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
由: Hossain, Mainul, et al.
出版: (2022)

Image recognition by deep learning
由: Mohiuddin, Karishma, et al.
出版: (2018)

Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
由: Nabil, Sheikh MD. Nafis Noor, et al.
出版: (2024)

Fake currency detection using image processing method
由: Alimushwan, Munshi Md., et al.
出版: (2017)

Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
由: Rafi, Ahmad Abdur, et al.
出版: (2023)

ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment
由: Dipto, Shakib Mahmud
出版: (2024)

Smart automated fruit freshness recognition system using image processing and deep learning
由: Shil, Prantha, et al.
出版: (2023)

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

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

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
由: Chowdhury, Himadri, et al.
出版: (2019)

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

Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
由: Ahmed, Sarder Tanvir, et al.
出版: (2024)

Monitoring of endangered fish using image processing and AI tools
由: Hossain, Naheen, et al.
出版: (2019)

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

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

Unsupervised semantic segmentation for localization of wetland area fluctuations
由: Tahsin, Anika, et al.
出版: (2024)

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

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

Generation of realistic images from human drawn sketches using deep learning
由: Mahbub, Mohammed Julfikar Ali, et al.
出版: (2022)

Automatic Bengali image captioning using efficientNet-transformer network and vision transformer
由: Kabir, Muhammad Khubayeeb, et al.
出版: (2023)

Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
由: Tuhin, Md. Akram Hossan, et al.
出版: (2019)