ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment

ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment

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

Bibliografiske detaljer
Hovedforfatter:	Dipto, Shakib Mahmud
Andre forfattere:	Alam, Md. Ashraful
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Residual network Image data analysis ResInvolution Federated learning INN CNN Histopathological images Involution neural network Diagnostic imaging > Digital techniques. Diagnostic imaging > Data processing. Image analysis. Machine learning > Medical applications.
Online adgang:	http://hdl.handle.net/10361/24040

Lignende værker

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

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

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

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

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

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

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

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

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

Detection of skin cancer using Convolutional neural network
af: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et al.
Udgivet: (2020)

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

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

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

A review on carbon nanotube: a new era in cancer diagnosis & therapy
af: Parvez, Safi
Udgivet: (2023)

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

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

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

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

Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia
af: Amin, Sifatul, et al.
Udgivet: (2023)

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

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

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

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

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

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

Classification of retinal diseases from OCT images using deep learning models
af: Mokarrom, Md Saif, et al.
Udgivet: (2024)

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

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

Image processing, analysis, and machine vision /
af: Sonka, Milan
Udgivet: (2008)

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

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
af: Rahman, Aryan, et al.
Udgivet: (2023)

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

Digital Image processing using MATLAB /
af: Gonzalez, Rafael C.
Udgivet: (2009)

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

Road sign detection and translation in Bangla using image processing and machine learning
af: Islam, Khalid Amirul, et al.
Udgivet: (2019)

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

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

Elemental image and audio synchronization and transmission technique for glasses-free 3D TV system
af: Khan, Amit Hasan, et al.
Udgivet: (2019)

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

Bengali hand sign language recognition using convolutional neural networks
af: Rumi, Roisul Islam, et al.
Udgivet: (2019)