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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Chowdhury, Himadri, Banik, Shounak, Hossain, Arafat, Khaled, Md. Imran
Άλλοι συγγραφείς:	Chakrabarty, Amitabha
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	BRAC University 2019
Θέματα:	Cancer Chronic Lymphocytic Leukemia Image processing Machine learning Machine learning.
Διαθέσιμο Online:	http://hdl.handle.net/10361/11418

Παρόμοια τεκμήρια

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Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia
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Skin cancer detection and classification using multiple optimized deep convolutional neural network
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Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
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Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
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Detection of skin cancer using Convolutional neural network
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Corn leaf disease detection using deep convolution neural network
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Fake profile detection in social media using image processing and machine learning
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RetinalNet-500: a newly developed CNN model for eye disease detection
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Lung cancer detection and classification using machine learning
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Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
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Using deep learning algorithms to detect violent activities
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Advances in Chronic Lymphocytic Leukemia
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Application of CNN based architectures in detection of distracted drivers
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A modern technique to detect potholes by Computer Vision and Deep Learning
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Real-time foul detection in football matches using machine learning techniques
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Skin cancer classification for seven types of skin lesions
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Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
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Analysis of deep learning models on low-light pest detection
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Public vehicle ETA system using machine learning
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