Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction

Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Xehetasun bibliografikoak
Egile Nagusiak:	Uddin, Mohammad Sakib, Nidhi, Nusrat Jahan, Yesmin, Sadia, Roy, Proloy Kanti
Beste egile batzuk:	Alam, Md. Golam Rabiul
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	CNN Deep learning Feature extraction Convolutional neural network Traumatic meningeal enhancement TME Image processing > Digital techniques Diagnostic imaging > Digital techniques Image analysis Neural networks (Computer science)
Sarrera elektronikoa:	http://hdl.handle.net/10361/22873

Antzeko izenburuak

Detecting anomalies in human eyes using structural similarity index measurement
nork: Jahan, Monwar, et al.
Argitaratua: (2019)

Digital image processing : PIKS inside /
nork: Pratt, William K.
Argitaratua: (2004)

Digital image processing /
nork: Gonzalez, Rafael C.
Argitaratua: (2002)

Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
nork: Alvi, Md.Waseq Alauddin
Argitaratua: (2024)

Two-dimensional signal and image processing /
nork: Lim, Jae S.
Argitaratua: (1990)

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

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

Integration of handcrafted and deep neural features for Melanoma classification
nork: Rahman, Mohammad Saminoor, et al.
Argitaratua: (2022)

Digital Image processing using MATLAB /
nork: Gonzalez, Rafael C.
Argitaratua: (2004)

Digital Image processing using MATLAB /
nork: Gonzalez, Rafael C.
Argitaratua: (2009)

Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
nork: Islam, Md. Nazmul
Argitaratua: (2023)

Image encryption and decryption using computer generated holography
nork: Istiaque, Md. Asif, et al.
Argitaratua: (2018)

Comparison of deep transfer learning models for cancer diagnosis
nork: Joya, Nadia Islam, et al.
Argitaratua: (2023)

A comparative analysis of the different CNN-LSTM model caption generation of medical images
nork: Amin, Mahzabin Yasmin Binte, et al.
Argitaratua: (2023)

Crop monitoring system using image processing and environmental data
nork: Rabbi, Shadman, et al.
Argitaratua: (2019)

ACEEE international journal of signal and image processing.

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

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

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

A study on image enhancement methods for printed Bangla document images
nork: Islam, Anika Binte, et al.
Argitaratua: (2018)

Automated car parking system with increased security by digital image processing
nork: Chowdhury, Md. Tanzir, et al.
Argitaratua: (2020)

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

Digital geometry : geometric methods for digital picture analysis /
nork: Klette, Reinhard
Argitaratua: (2004)

Practical algorithms for image analysis : description, examples, programs, and projects /
nork: O'Gorman, Lawrence
Argitaratua: (2008)

Techniques and standards for image, video, and audio coding /
nork: Rao, K. Ramamohan (Kamisetty Ramamohan)
Argitaratua: (1996)

Fetal plane classification from 2D-ultrasound images leveraging squeeze and excitation self-attention mechanism for feature recalibration in MedMamba
nork: Riju, Tanjim Islam, et al.
Argitaratua: (2024)

Computer vision-based Bengali sign language to text generation
nork: Tazalli, Tonjih, et al.
Argitaratua: (2022)

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

Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection
nork: Zafreen, Zasia, et al.
Argitaratua: (2024)

Digital signal and image processing /
nork: Bose, Tamal
Argitaratua: (2004)

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

An emergency based image filtering system
nork: Dhar, Bishakha, et al.
Argitaratua: (2019)

D-ARTNET22 V1: a neural network framework against stolen digital artworks getting Non-Fungible Token (NFT) labels
nork: Dipro, Farhan Hasin, et al.
Argitaratua: (2024)

A novel approach for digital image watermarking
nork: Mitashe, Mashruha Raquib, et al.
Argitaratua: (2016)

An efficient way to convert 1D signal to 2D digital image using energy values
nork: Azad, Muntasir, et al.
Argitaratua: (2018)

Reconstruction of images with RPCA and augmenting 3D model
nork: Tahiti, Tasnia Jasim, et al.
Argitaratua: (2022)

Blood group detection using image processing techniques
nork: Rahman, Sakib, et al.
Argitaratua: (2018)

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

A new feature extraction technique for person identification
nork: Muazzam, Shakib, et al.
Argitaratua: (2017)

Single and multi-view 2D image processing for enhanced 3D object reconstruction
nork: Ghosh, Swapnil, et al.
Argitaratua: (2024)