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.

Opis bibliograficzny
Główni autorzy:	Aadi, Oyshik Ahmed, Akash, Md.Meghdad Hossain, Ishraq, Fahim, Hossain, Asif, Al Fahim, Abdullah
Kolejni autorzy:	Karim, Dewan Ziaul
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2024
Hasła przedmiotowe:	Convolutional neural network Classification of blood cells Deep learning Cognitive learning theory (Deep learning)
Dostęp online:	http://hdl.handle.net/10361/22062

Podobne zapisy

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

Bang-lish sentiment classification using deep learning
od: Saleheen, Abrar, i wsp.
Wydane: (2023)

An efficient deep learning approach to classify white blood cells
od: Turja, Afif Ibna Kadir Khan, i wsp.
Wydane: (2024)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
od: Ashraf, S.M. Nabil, i wsp.
Wydane: (2021)

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

Predicting crime using deep learning
od: Shihab, Muhammad Nafees, i wsp.
Wydane: (2024)

Deep learning-based waste classification system for efficient waste management
od: Nakib, Abdullah Al, i wsp.
Wydane: (2022)

Diabetic retinopathy detection and classification by using deep learning
od: Hossain, Shahriar, i wsp.
Wydane: (2022)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
od: Datta, Nirjhor, i wsp.
Wydane: (2024)

Classification of retinal diseases from OCT images using deep learning models
od: Mokarrom, Md Saif, i wsp.
Wydane: (2024)

Visual object classification from fMRI data
od: Newaz, Syed Mishar, i wsp.
Wydane: (2022)

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

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

Deep convolutional GAN-based data augmentation for medical image classification
od: Datta, Joy, i wsp.
Wydane: (2022)

An efficient deep learning approach to detect citrus leaves disease
od: Emon, Shaharear Hossain, i wsp.
Wydane: (2024)

An interpretable transformer based approach to classify Malaria from blood cell images
od: Islam, Mehafuza, i wsp.
Wydane: (2023)

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

A deep learning approach to integrate human-level understanding in a Chatbot
od: Al Mamun, Amirul Islam, i wsp.
Wydane: (2021)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
od: Reza, S. M. Mushfiq, i wsp.
Wydane: (2024)

A modern technique to detect potholes by Computer Vision and Deep Learning
od: Saif, Muntasir Mahmud, i wsp.
Wydane: (2023)

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

Visual object recognition using deep convolutional neural network
od: Ahmed, Sabbir
Wydane: (2017)

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

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

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
od: Bhuiyan, Abir Ahammed, i wsp.
Wydane: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
od: Ifty, Md. Hasin Sarwar, i wsp.
Wydane: (2024)

Damaged road detection using Image Processing and Deep Learning
od: Swadesh, Shimran Mahbub, i wsp.
Wydane: (2022)

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)

An efficient deep learning approach to detect skin cancer using image data
od: Chowdhury, Yaser Al Rahman, i wsp.
Wydane: (2023)

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

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
od: Ahasan, Md. Mubtasim, i wsp.
Wydane: (2022)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
od: Hasan, M. M. Kamrul, i wsp.
Wydane: (2022)

Classifying insect pests from image data using deep learning
od: Mohsin, Md. Raiyan Bin, i wsp.
Wydane: (2022)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
od: Fiona, Driciru, i wsp.
Wydane: (2024)

Leveraging sequential deep learning models for detecting multitude of human action categories
od: Pranta, Kazi Al Refat, i wsp.
Wydane: (2024)

Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
od: Peyal, Md. Mahmudul Kabir, i wsp.
Wydane: (2021)

Application of deep learning in MRI classification of Schizophrenia
od: Joyee, Ramisa Fariha, i wsp.
Wydane: (2024)

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

Traffic sign recognition using deep learning
od: Amir, Afia Binte, i wsp.
Wydane: (2020)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
od: Athina, Fahima Hasan, i wsp.
Wydane: (2022)