An interpretable transformer based approach to classify Malaria from blood cell images

An interpretable transformer based approach to classify Malaria from blood cell images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Islam, Mehafuza, Al Mamun, S.M. Abdulla
Άλλοι συγγραφείς:	Alam, Dr. Md. Ashraful
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	Malaria parasites Vision transformer Deep learning Grad-CAM Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Διαθέσιμο Online:	http://hdl.handle.net/10361/20000

Παρόμοια τεκμήρια

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
ανά: Bhuiyan, Mahdi Hasan, κ.ά.
Έκδοση: (2024)

Deep learning-based waste classification system for efficient waste management
ανά: Nakib, Abdullah Al, κ.ά.
Έκδοση: (2022)

Deep Learning based Medicinal Plants Leaf Recognition
ανά: Mahalanabish, Tonusri
Έκδοση: (2023)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
ανά: Reza, S. M. Mushfiq, κ.ά.
Έκδοση: (2024)

Performance comparison of CNN architectures for detecting Malaria diseases
ανά: Rinky, Habiba Karim, κ.ά.
Έκδοση: (2021)

Classification of peripheral blood cell images using deep learning
ανά: Aadi, Oyshik Ahmed, κ.ά.
Έκδοση: (2024)

A modern technique to detect potholes by Computer Vision and Deep Learning
ανά: Saif, Muntasir Mahmud, κ.ά.
Έκδοση: (2023)

Violent activity detection through surveillance camera using deep learning
ανά: Miah, Parvez, κ.ά.
Έκδοση: (2023)

An implementation and analysis of deep learning models for the detection of wheat diseases
ανά: Zubair, Ahmad, κ.ά.
Έκδοση: (2024)

An efficient deep learning approach to classify white blood cells
ανά: Turja, Afif Ibna Kadir Khan, κ.ά.
Έκδοση: (2024)

BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
ανά: Mahtab, Motahar, κ.ά.
Έκδοση: (2022)

Classification of retinal diseases from OCT images using deep learning models
ανά: Mokarrom, Md Saif, κ.ά.
Έκδοση: (2024)

Classifying insect pests from image data using deep learning
ανά: Mohsin, Md. Raiyan Bin, κ.ά.
Έκδοση: (2022)

An efficient deep learning approach to detect skin Cancer
ανά: Islam, Ashfaqul, κ.ά.
Έκδοση: (2022)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
ανά: Hasan, M. M. Kamrul, κ.ά.
Έκδοση: (2022)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
ανά: Ghosh, Kawshik Kumar, κ.ά.
Έκδοση: (2023)

Damaged road detection using Image Processing and Deep Learning
ανά: Swadesh, Shimran Mahbub, κ.ά.
Έκδοση: (2022)

Sentiment analysis on Bangladesh airlines review data using machine learning
ανά: Hasib, Khan Md.
Έκδοση: (2022)

Corn leaf disease detection using deep convolution neural network
ανά: Rabbi, Rawhatur, κ.ά.
Έκδοση: (2023)

A secured federated learning system leveraging confidence score to identify retinal disease
ανά: Eshan, M Sakib Osman, κ.ά.
Έκδοση: (2023)

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

Yoga posture recognition using the deep learning process
ανά: Islam, Abidul, κ.ά.
Έκδοση: (2023)

Smart companion agent for mental well-being through Deep Learning and NLP
ανά: Khan, Rafiur, κ.ά.
Έκδοση: (2021)

RetinalNet-500: a newly developed CNN model for eye disease detection
ανά: Toki, Sadikul Alim, κ.ά.
Έκδοση: (2023)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
ανά: Biswas, Sunanda, κ.ά.
Έκδοση: (2022)

Visual object classification from fMRI data
ανά: Newaz, Syed Mishar, κ.ά.
Έκδοση: (2022)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
ανά: Mim, Ankhi Akter, κ.ά.
Έκδοση: (2024)

Deep learning-based real-time pothole detection for avoiding road accident
ανά: Basher, Rafsan, κ.ά.
Έκδοση: (2022)

A deep learning approach towards soft biometrics attributes prediction using CNN
ανά: Kibria, Maharab, κ.ά.
Έκδοση: (2022)

An interpretable deep learning approach to detect Alzheimer using MRI images
ανά: Oni, Farhan Anzum, κ.ά.
Έκδοση: (2023)

Prostate cancer detection using deep learning neural network with transfer learning approach
ανά: Badhon, Ariful Islam Mahmud, κ.ά.
Έκδοση: (2022)

An efficient deep learning approach to detect citrus leaves disease
ανά: Emon, Shaharear Hossain, κ.ά.
Έκδοση: (2024)

Intracranial hemorrhage detection using CNN-LSTM fusion model
ανά: Ahmed, Kazi sabab, κ.ά.
Έκδοση: (2022)

Document template identification and data extraction using machine learning and deep learning approach
ανά: Roy, Kaushik, κ.ά.
Έκδοση: (2024)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
ανά: Farabi, Farhan, κ.ά.
Έκδοση: (2023)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
ανά: Nawrin, Ishrat Nur, κ.ά.
Έκδοση: (2023)

Application of CNN based architectures in detection of distracted drivers
ανά: Arafin, Irfana, κ.ά.
Έκδοση: (2023)

An efficient deep learning approach to detect skin cancer using image data
ανά: Chowdhury, Yaser Al Rahman, κ.ά.
Έκδοση: (2023)

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
ανά: Ahasan, Md. Mubtasim, κ.ά.
Έκδοση: (2022)

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
ανά: Datta, Anurag, κ.ά.
Έκδοση: (2022)