Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder

Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Xehetasun bibliografikoak
Egile Nagusiak:	Farzana, Maisha, Any, Md. Jahid Hossain
Beste egile batzuk:	Parvez, Mohammad Zavid
Formatua:	Thesis
Hizkuntza:	en_US
Argitaratua:	Brac University 2021
Gaiak:	Brain Tumor Semantic Segmentation MRI CNN Pre-processing Autoencoder U-Net Architecture
Sarrera elektronikoa:	http://hdl.handle.net/10361/14459

Antzeko izenburuak

In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
nork: Haque, Hossain MD. Hasibul, et al.
Argitaratua: (2024)

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

Detecting brain tumor using deep neural networks from MRI images
nork: Imamuzzaman, A.S.M., et al.
Argitaratua: (2021)

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

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

Comparison of different CNN architectures for brain tumor detection using fMRI
nork: Mashiat, Afsara, et al.
Argitaratua: (2021)

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

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

An Efficient deep learning approach to detect Brain Tumor using MRI images
nork: Islam, Annur Tasnim, et al.
Argitaratua: (2022)

A review on the occurrence of brain tumor in adults and pediatrics and the associated risk factors
nork: Bhuiya, Nabila
Argitaratua: (2023)

An efficient approach for binary classification in brain tumor detection using convolutional neural network
nork: Islam, MD. Arman, et al.
Argitaratua: (2023)

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

Pattern of brain tumor among admitted patients in a specialized center of Dhaka city: a cross sectional study
nork: Tuly, Tangia Islam
Argitaratua: (2018)

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

Brain image fMRI data classification and graphical representation of visual object
nork: Tasneem, Nazifa Afroza, et al.
Argitaratua: (2019)

Segmentation based Kidney Tumor Classification using Deep Neural Network
nork: Mehedi, Md Humaion Kabir, et al.
Argitaratua: (2022)

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

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

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

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

Automatic slice growing method based 3D reconstruction of liver with its vessels
nork: Alom, Md. Zahangir, et al.
Argitaratua: (2016)

Semantics /
nork: Palmer, F. R. (Frank Robert)
Argitaratua: (1981)

Semantics : a coursebook /
nork: Hurford, James R.
Argitaratua: (2009)

Inquisitive semantics /
nork: Ciardelli, Ivano

Journal of Semantics

Introducing Semantics
nork: Nick Riemer
Argitaratua: (2012)

Semantics and morphosyntactic variation :
nork: Francez, Itamar

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
nork: Ali, Syed Muaz
Argitaratua: (2023)

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

Foundations of Semantic Web technologies /
nork: Hitzler, Pascal
Argitaratua: (2010)

The typology of semantic alignment

A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
nork: Faisal, Asm, et al.
Argitaratua: (2024)

Customer segmentation using K-means
nork: Mahdee, Nafis, et al.
Argitaratua: (2022)

Theories of lexical semantics
nork: Geeraerts, Dirk

Introducing English semantics
nork: Kreidler, Charles W., 1924-
Argitaratua: (2014)

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

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
nork: Hossain, Shah Md. Shakhawath, et al.
Argitaratua: (2024)

Brain tumor detection through image processing
nork: Azmim, Tahaziba, et al.
Argitaratua: (2021)

LRFS: online shoppers’ behavior based efficient customer segmentation model
nork: Khan, Riyo Hayat
Argitaratua: (2023)

Brain tumor detection with convolutional neural network
nork: Galib, Abrar Tahmid, et al.
Argitaratua: (2024)