Analysis of transformer and CNN based approaches for classifying renal abnormality from image data

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data

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

Dades bibliogràfiques
Autors principals:	Reza, S. M. Mushfiq, Hasnath, Abu Bakar, Roy, Ankita, Rahman, Amreen, Faruk, Abdullah Bin
Altres autors:	Reza, Md. Tanzim
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2024
Matèries:	Deep learning Convolutional neural networks Renal abnormality Transformers Deep learning. Kidney > Abnormalities.
Accés en línia:	http://hdl.handle.net/10361/24017

Ítems similars

Dynamic image analysis for abnormal behavior detection
per: Ahmed, Md. Ashik, et al.
Publicat: (2017)

Identifying brain abnormalities using image processing and CNN models
per: Talukder, Ismat Shehrin, et al.
Publicat: (2021)

An interpretable transformer based approach to classify Malaria from blood cell images
per: Islam, Mehafuza, et al.
Publicat: (2023)

Classification of peripheral blood cell images using deep learning
per: Aadi, Oyshik Ahmed, et al.
Publicat: (2024)

An enhanced CNN model for classifying skin cancer
per: Haider, Kazi MD Minhajul, et al.
Publicat: (2022)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
per: Bhuiyan, Abir Ahammed, et al.
Publicat: (2024)

An efficient deep learning approach to classify white blood cells
per: Turja, Afif Ibna Kadir Khan, et al.
Publicat: (2024)

Application of CNN based architectures in detection of distracted drivers
per: Arafin, Irfana, et al.
Publicat: (2023)

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

Intracranial hemorrhage detection using CNN-LSTM fusion model
per: Ahmed, Kazi sabab, et al.
Publicat: (2022)

An efficient deep learning approach to detect skin Cancer
per: Islam, Ashfaqul, et al.
Publicat: (2022)

BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
per: Mahtab, Motahar, et al.
Publicat: (2022)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
per: Ashraf, S.M. Nabil, et al.
Publicat: (2021)

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

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
per: Hasan, M. M. Kamrul, et al.
Publicat: (2022)

Visual object recognition using deep convolutional neural network
per: Ahmed, Sabbir
Publicat: (2017)

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
per: Bhuiyan, Mahdi Hasan, et al.
Publicat: (2024)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
per: Khan, Ibrahim
Publicat: (2023)

Smart companion agent for mental well-being through Deep Learning and NLP
per: Khan, Rafiur, et al.
Publicat: (2021)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
per: Mubin, Kazi Ehsanul, et al.
Publicat: (2022)

Visual object classification from fMRI data
per: Newaz, Syed Mishar, et al.
Publicat: (2022)

An implementation and analysis of deep learning models for the detection of wheat diseases
per: Zubair, Ahmad, et al.
Publicat: (2024)

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

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
per: Radiah, Faiza, et al.
Publicat: (2024)

A deep learning approach towards soft biometrics attributes prediction using CNN
per: Kibria, Maharab, et al.
Publicat: (2022)

March Madness in Wall Street : (What) Does the Market Learn from Stress Tests? /
per: Fernandes, Marcelo
Publicat: (2015)

Stem cell as an option for kidney injury and transplantation
per: Kabir, Faizul
Publicat: (2023)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
per: Datta, Nirjhor, et al.
Publicat: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
per: Ifty, Md. Hasin Sarwar, et al.
Publicat: (2024)

A modern technique to detect potholes by Computer Vision and Deep Learning
per: Saif, Muntasir Mahmud, et al.
Publicat: (2023)

Classifying insect pests from image data using deep learning
per: Mohsin, Md. Raiyan Bin, et al.
Publicat: (2022)

Thalidomide embryopathy in Japan /
Publicat: (1987)

Hepatotoxicity and acute kidney injury associations with itraconazole, voriconazole and posaconazole in the treatment of Onychomycosis: pharmacovigilance study of FDA adverse event reporting system data (FAERS)
per: Hossain, Ragib
Publicat: (2024)

RetinalNet-500: a newly developed CNN model for eye disease detection
per: Toki, Sadikul Alim, et al.
Publicat: (2023)

Facial expression recognition: convolutional attentional masking network and ensemble approach
per: Kowsar, Ibna, et al.
Publicat: (2021)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
per: Fiona, Driciru, et al.
Publicat: (2024)

Diabetic retinopathy detection and classification by using deep learning
per: Hossain, Shahriar, et al.
Publicat: (2022)

Plant leaf disease identification
per: Hasan Mahin, Mohammad Rakibul, et al.
Publicat: (2024)

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

A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
per: Hasan, Moenul, et al.
Publicat: (2021)