Deep learning based medical X-ray image recognition and classification

Deep learning based medical X-ray image recognition and classification

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Detalles Bibliográficos
Autor principal:	Khan, Md. Rakib Hossain
Otros Autores:	Amitabha Chakrabarty
Formato:	Tesis
Lenguaje:	English
Publicado:	BRAC University 2019
Materias:	Image processing. Pattern recognition systems.
Acceso en línea:	http://hdl.handle.net/10361/11426

Ejemplares similares

A new pattern recognition method for abnormal event detection in crowded scenarios
por: Mostafa, Tahjid Ashfaque
Publicado: (2017)

Real time dynamic facial recognition of subject at motion using angular image
por: Tasneem, Sharah, et al.
Publicado: (2024)

Image recognition by deep learning
por: Mohiuddin, Karishma, et al.
Publicado: (2018)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
por: Abir, Tawhidur Rahman, et al.
Publicado: (2019)

Facial recognition using dynamic image processing
por: Haque, Md. Asiful, et al.
Publicado: (2017)

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

Pattern classification /
por: Duda, Richard O.

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

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

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

Image classification using deep neural network for efficient identification of traffic sign
por: Saha, Sourajit
Publicado: (2018)

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

Fruit and vegetable freshness detection using deep learning
por: Haque, Md. Mahidul, et al.
Publicado: (2023)

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

Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
por: Tasnia, Rifah, et al.
Publicado: (2024)

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

Machine learning approach for face recognition from 3D models generated by multiple 2D angular images
por: Mahmud, Moinuddin, et al.
Publicado: (2019)

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

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

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

Hardware architecture design of face recognition system based on FPGA
por: Mondol, Raktim Kumar, et al.
Publicado: (2016)

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

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

Cancer detection using image processing techniques based on cell counting, cell area measurement and clump detection
por: Pavel, Monirul Islam, et al.
Publicado: (2018)

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

A Comparative study on Bengali handwritten character recognition and prediction using CNN
por: Abrar, Muntaqa, et al.
Publicado: (2021)

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

Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
por: Uddin, Mohammad Sakib, et al.
Publicado: (2024)

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

Fake news pattern recognition using linguistic analysis
por: Dey, Amitabha, et al.
Publicado: (2018)

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

Neural networks for pattern recognition /
por: Bishop, Christopher M.
Publicado: (1995)

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

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

Digital Image processing using MATLAB /
por: Gonzalez, Rafael C.
Publicado: (2009)

Image processing, analysis, and machine vision /
por: Sonka, Milan
Publicado: (2008)

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

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

Phase Transitions in Machine Learning
por: Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols
Publicado: (2012)

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