Comparative analysis of neural network Models for peripheral blood cell image classification

Comparative analysis of neural network Models for peripheral blood cell image classification

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

Bibliographische Detailangaben
Hauptverfasser:	Mollah, Md Tanzid, Shahriar, Mahi, Fahim, Mohammad, Ahmed, Zehan, Sakib, Kaji Sadman
Weitere Verfasser:	Hossain, Muhammad Iqbal
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	Medicine Diagnosis Leukemia Efficient- Net Neural networks (Computer science)
Online Zugang:	http://hdl.handle.net/10361/23458

Ähnliche Einträge

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

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
von: Awwal, Alvina, et al.
Veröffentlicht: (2021)

Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia
von: Amin, Sifatul, et al.
Veröffentlicht: (2023)

Identification of childhood leukemia using deep learning
von: Tultul, Farana Naz
Veröffentlicht: (2018)

Decipherable classification of glaucoma using deep neural network leveraging XAI
von: Chayan, Touhidul Islam, et al.
Veröffentlicht: (2023)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
von: Shahriar, Hasan, et al.
Veröffentlicht: (2022)

Speech command classification based on deep neural networks
von: Hossain, Md. Sakib, et al.
Veröffentlicht: (2023)

A review on bispecific antibody (blinatumomab) for the treatment of acute lymphoblastic leukemia
von: Choki, Kinley
Veröffentlicht: (2024)

In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
von: Haque, Hossain MD. Hasibul, et al.
Veröffentlicht: (2024)

Brain tumor segmentation from MRI images using convolutional neural networks
von: Khan, Mushfiqur Rahman
Veröffentlicht: (2024)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
von: Rahman, Afridi Ibn, et al.
Veröffentlicht: (2022)

Skin cancer classification for seven types of skin lesions
von: Rahman, Md. Tawsifur, et al.
Veröffentlicht: (2024)

Stem cell in cancer disease cure vs cause
von: Chowdhury, Marisha Mansur
Veröffentlicht: (2023)

A review on Bruton's Tyrosine Kinase inhibitors to outline the scopes of further advancements in the treatment of cancer
von: Khan, Muidul Hasan
Veröffentlicht: (2024)

Early detection of cervical cancer using deep neural networks
von: Akhund, Atoshi, et al.
Veröffentlicht: (2023)

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

Automatic waste classification using deep learning and computer vision techniques
von: Akash, MD., et al.
Veröffentlicht: (2023)

Bone age comparison using convolutional neural network
von: Nawaz, Fariha, et al.
Veröffentlicht: (2019)

An Efficient deep learning approach to detect Brain Tumor using MRI images
von: Islam, Annur Tasnim, et al.
Veröffentlicht: (2022)

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
von: Chowdhury, Himadri, et al.
Veröffentlicht: (2019)

Classification of different magnetic structures from image data using deep neural networks
von: Ibn Hasib, Fahad, et al.
Veröffentlicht: (2023)

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
von: Niaz, H.M, et al.
Veröffentlicht: (2024)

Peripheralization
Veröffentlicht: (2013)

Lung cancer detection and classification using machine learning
von: Arefin, Mahbubul, et al.
Veröffentlicht: (2023)

Brain tumor detection with convolutional neural network
von: Galib, Abrar Tahmid, et al.
Veröffentlicht: (2024)

A Comparative study on Bengali handwritten character recognition and prediction using CNN
von: Abrar, Muntaqa, et al.
Veröffentlicht: (2021)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
von: Haque, Samiha, et al.
Veröffentlicht: (2021)

A comparative study of lung cancer prediction using deep learning
von: Mugdho, Aka Mohammad, et al.
Veröffentlicht: (2023)

A comparative performance analysis among Hybrid NOMA Schemes for 5th Generation (5G) and beyond Wireless Communications
von: Bal, Anindya, et al.
Veröffentlicht: (2021)

Glymphatic system: a pathway for managing endogenous metabolites in CNS
von: Tasneem, Sadia
Veröffentlicht: (2021)

Peripheral Desires
von: Tobin

A comparative study of intelligent reflecting surface and relay in satellite communication
von: Khan, Mohammed Rabbul Hossain, et al.
Veröffentlicht: (2021)

Supply chain management portal and its impact on supply chain performance in ministry of health and family welfare: an assessment
von: Roshni, Fatema Samdani
Veröffentlicht: (2018)

Work-life balance and its impact on employees overall performance
von: Samin, Ahnaf Mosaddek
Veröffentlicht: (2017)

Design of tandem solar cell to enhance the conversion efficiency using FDTD simulation
von: Patwary, Al-Amin, et al.
Veröffentlicht: (2021)

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

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

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
von: Khilji, Ishfaque Qamar, et al.
Veröffentlicht: (2021)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
von: Mashraf, Chowdhury Zerif, et al.
Veröffentlicht: (2021)

Retinal Diseases Detection using Deep Learning
von: Mashfi, Shahriar, et al.
Veröffentlicht: (2023)