Comparison of deep transfer learning models for cancer diagnosis

Comparison of deep transfer learning models for cancer diagnosis

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Opis bibliograficzny
Główni autorzy:	Joya, Nadia Islam, Turna, Tasfia Haque, Sukhi, Zinia Nawrin, Promy, Tania Ferdousey
Kolejni autorzy:	Uddin, Jia
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2023
Hasła przedmiotowe:	Convolutional Neural Network(CNN) Deep transfer learning Cancer detection Image processing Neural networks (Computer science) Image processing > Digital techniques.
Dostęp online:	http://hdl.handle.net/10361/18250

Podobne zapisy

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
od: Sagor, Mostofa Kamal, i wsp.
Wydane: (2021)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
od: Sakir, Adnan, i wsp.
Wydane: (2023)

Pneumonia Disease detection using the convolutional neural network
od: Ashrafee, Md. Iftid, i wsp.
Wydane: (2024)

Detecting Deepfake images using deep convolutional neural network
od: Dhar, Arpita, i wsp.
Wydane: (2022)

Cancer classification using deep learning from medical image data
od: Monir, Raiyan Janik, i wsp.
Wydane: (2022)

Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
od: Uddin, Mohammad Sakib, i wsp.
Wydane: (2024)

An enhanced CNN model for classifying skin cancer
od: Haider, Kazi MD Minhajul, i wsp.
Wydane: (2022)

An efficient deep learning approach to detect skin Cancer
od: Islam, Ashfaqul, i wsp.
Wydane: (2022)

A comparative analysis of the different CNN-LSTM model caption generation of medical images
od: Amin, Mahzabin Yasmin Binte, i wsp.
Wydane: (2023)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
od: Mahbub, Riasat, i wsp.
Wydane: (2022)

Deep learning based early Glaucoma detection
od: Islam, Aabrar, i wsp.
Wydane: (2024)

Exploring deep features: deeper fully convolutional neural network for image segmentation
od: Kamran, Sharif Amit, i wsp.
Wydane: (2017)

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
od: Tasawar, Ihtyaz Kader, i wsp.
Wydane: (2021)

Prostate cancer detection using deep learning neural network with transfer learning approach
od: Badhon, Ariful Islam Mahmud, i wsp.
Wydane: (2022)

Detection of skin cancer using Convolutional neural network
od: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, i wsp.
Wydane: (2020)

An efficient approach to detect melanoma skin cancer using a custom CNN model
od: Rahman, K.M Saidur, i wsp.
Wydane: (2023)

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

Efficient image processing and machine learning approach for predicting retinal diseases
od: Hasib, Mehadi Hasan, i wsp.
Wydane: (2021)

Leaf classification by feature extraction using CNN
od: Bhuiyan, Md. Mazharul Islam, i wsp.
Wydane: (2020)

Single and multi-view 2D image processing for enhanced 3D object reconstruction
od: Ghosh, Swapnil, i wsp.
Wydane: (2024)

Computer vision-based Bengali sign language to text generation
od: Tazalli, Tonjih, i wsp.
Wydane: (2022)

An efficient deep learning approach to detect neurodegenerative diseases using retinal images
od: Irfanuddin, Chowdhury Mohammad, i wsp.
Wydane: (2023)

Early detection of cervical cancer using deep neural networks
od: Akhund, Atoshi, i wsp.
Wydane: (2023)

Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
od: Ahmed, Sarder Tanvir, i wsp.
Wydane: (2024)

Anti-aliasing for real-time applications in 3D using deep convolutional neural network
od: Siam, F. M. Jamius, i wsp.
Wydane: (2021)

Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
od: Mizan, Mubasshira, i wsp.
Wydane: (2024)

Skin cancer classification for seven types of skin lesions
od: Rahman, Md. Tawsifur, i wsp.
Wydane: (2024)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
od: Mubin, Kazi Ehsanul, i wsp.
Wydane: (2022)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
od: Haque, Samiha, i wsp.
Wydane: (2021)

Corn leaf disease detection using deep convolution neural network
od: Rabbi, Rawhatur, i wsp.
Wydane: (2023)

An efficient deep learning approach to detect COVID-19 infected lungs using image data
od: Kabir, Asif Rezwan, i wsp.
Wydane: (2022)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
od: Rahman, Aryan, i wsp.
Wydane: (2023)

D-ARTNET22 V1: a neural network framework against stolen digital artworks getting Non-Fungible Token (NFT) labels
od: Dipro, Farhan Hasin, i wsp.
Wydane: (2024)

Detection of multiple sclerosis using deep learning
od: Jannat, Sabila Al, i wsp.
Wydane: (2021)

A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
od: Faisal, Asm, i wsp.
Wydane: (2024)

Silent voice: harnessing deep learning for lip-reading in Bangla
od: Shaheen, Munia, i wsp.
Wydane: (2024)

Plant leaf disease identification
od: Hasan Mahin, Mohammad Rakibul, i wsp.
Wydane: (2024)

A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
od: Gomes, Paul Richie, i wsp.
Wydane: (2021)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
od: Choudhury, Prionto Kumar, i wsp.
Wydane: (2024)

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
od: Hossain, Mainul, i wsp.
Wydane: (2022)