Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Detalles Bibliográficos
Autores principales:	Chowdhury, Himadri, Banik, Shounak, Hossain, Arafat, Khaled, Md. Imran
Otros Autores:	Chakrabarty, Amitabha
Formato:	Tesis
Lenguaje:	English
Publicado:	BRAC University 2019
Materias:	Cancer Chronic Lymphocytic Leukemia Image processing Machine learning Machine learning.
Acceso en línea:	http://hdl.handle.net/10361/11418

Ejemplares similares

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

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

Chronic kidney disease detection using ensemble classi ers and feature set reduction
por: Shawan, Naveed Rahman, et al.
Publicado: (2019)

Machine learning as an indicator for breast cancer prediction
por: Shadman, Tahsin Mohammed, et al.
Publicado: (2019)

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

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

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

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

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

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
por: Sakib, Hasibul, et al.
Publicado: (2024)

Identification of childhood leukemia using deep learning
por: Tultul, Farana Naz
Publicado: (2018)

Breast cancer prediction using different machine learning models
por: Khandker Al- Muhaimin, et al.
Publicado: (2020)

An efficient ML approach to detect brain tumor using MRI images
por: Muktadir, MD. Arafat, et al.
Publicado: (2024)

Early detection of breast cancer using machine learning
por: Fuad, Wasi Mohammad
Publicado: (2019)

Detection of skin cancer using Convolutional neural network
por: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et al.
Publicado: (2020)

Corn leaf disease detection using deep convolution neural network
por: Rabbi, Rawhatur, et al.
Publicado: (2023)

Fake profile detection in social media using image processing and machine learning
por: Sen, Shuva, et al.
Publicado: (2021)

Detecting propagandistic poster title: a machine learning approach
por: Mahmood, Riaz, et al.
Publicado: (2024)

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

Heart disease prediction using machine learning algorithms
por: Ali, Musfiq, et al.
Publicado: (2019)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
por: Sharma, Tanmoyee, et al.
Publicado: (2021)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
por: Nawrin, Ishrat Nur, et al.
Publicado: (2023)

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

Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
por: Haque, Adiba, et al.
Publicado: (2022)

A machine learning approach to detect depression and anxiety using supervised learning
por: Ullas, Md Tahmidur Rahman, et al.
Publicado: (2019)

Cancer classification using deep learning from medical image data
por: Monir, Raiyan Janik, et al.
Publicado: (2022)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
por: Alhossen, Md., et al.
Publicado: (2021)

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

Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
por: Faisal, Shah
Publicado: (2024)

Using deep learning algorithms to detect violent activities
por: Ammar, S.M. Rojin, et al.
Publicado: (2019)

Advances in Chronic Lymphocytic Leukemia
Publicado: (2013)

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

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

Real-time foul detection in football matches using machine learning techniques
por: Siddiqui, Bishal Sadi, et al.
Publicado: (2024)

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

Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
por: Rafi, Ahmad Abdur, et al.
Publicado: (2023)

Analysis of deep learning models on low-light pest detection
por: Irtiza, Md. Samin, et al.
Publicado: (2023)

Public vehicle ETA system using machine learning
por: Kabir, Md. Miraz, et al.
Publicado: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
por: Choudhury, Ahnaf Atef, et al.
Publicado: (2019)

Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
por: Ahmed, Yasin, et al.
Publicado: (2018)