Classification of peripheral blood cell images using deep learning

Classification of peripheral blood cell images using deep learning

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

Bibliografiske detaljer
Main Authors:	Aadi, Oyshik Ahmed, Akash, Md.Meghdad Hossain, Ishraq, Fahim, Hossain, Asif, Al Fahim, Abdullah
Andre forfattere:	Karim, Dewan Ziaul
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Convolutional neural network Classification of blood cells Deep learning Cognitive learning theory (Deep learning)
Online adgang:	http://hdl.handle.net/10361/22062

Lignende værker

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

Bang-lish sentiment classification using deep learning
af: Saleheen, Abrar, et al.
Udgivet: (2023)

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

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

Skin cancer detection and classification using multiple optimized deep convolutional neural network
af: Sakir, Adnan, et al.
Udgivet: (2023)

Predicting crime using deep learning
af: Shihab, Muhammad Nafees, et al.
Udgivet: (2024)

Deep learning-based waste classification system for efficient waste management
af: Nakib, Abdullah Al, et al.
Udgivet: (2022)

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

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

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

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

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
af: Hossain, Prommy Sultana
Udgivet: (2022)

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

Deep convolutional GAN-based data augmentation for medical image classification
af: Datta, Joy, et al.
Udgivet: (2022)

An efficient deep learning approach to detect citrus leaves disease
af: Emon, Shaharear Hossain, et al.
Udgivet: (2024)

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

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 deep learning approach to integrate human-level understanding in a Chatbot
af: Al Mamun, Amirul Islam, et al.
Udgivet: (2021)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
af: Reza, S. M. Mushfiq, et al.
Udgivet: (2024)

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

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
af: Tasawar, Ihtyaz Kader, et al.
Udgivet: (2021)

Visual object recognition using deep convolutional neural network
af: Ahmed, Sabbir
Udgivet: (2017)

Prostate cancer detection using deep learning neural network with transfer learning approach
af: Badhon, Ariful Islam Mahmud, et al.
Udgivet: (2022)

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

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

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

Damaged road detection using Image Processing and Deep Learning
af: Swadesh, Shimran Mahbub, et al.
Udgivet: (2022)

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)

An efficient deep learning approach to detect skin cancer using image data
af: Chowdhury, Yaser Al Rahman, et al.
Udgivet: (2023)

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

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
af: Ahasan, Md. Mubtasim, et al.
Udgivet: (2022)

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

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

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

Leveraging sequential deep learning models for detecting multitude of human action categories
af: Pranta, Kazi Al Refat, et al.
Udgivet: (2024)

Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
af: Peyal, Md. Mahmudul Kabir, et al.
Udgivet: (2021)

Application of deep learning in MRI classification of Schizophrenia
af: Joyee, Ramisa Fariha, et al.
Udgivet: (2024)

Blood donation application with implementation of machine learning
af: Diba, Sadia Nadira
Udgivet: (2018)

Traffic sign recognition using deep learning
af: Amir, Afia Binte, et al.
Udgivet: (2020)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
af: Athina, Fahima Hasan, et al.
Udgivet: (2022)