IMAGE PROCESSING

Image and Video Caption Generator using Deep Learning | Machine Learning Projects

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Image and Video Caption Generator using Machine Learning Image Caption Generation with Neural Networks represents a significant advancement in artificial intelligence, enabling machines to generate descriptive captions for images. Utilizing sophisticated neural network architectures, this system analyzes image content and context to generate contextually relevant and coherent captions. The project contributes to applications such as […]

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Breast Cancer Classification Using Machine Learning | IEEE Based Projects for CSE 2024

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Breast Cancer is deadly and the most common type of cancer in the world.  Based on machine learning algorithm such as random forest, XGBoost, logistic regression and K-nearest neighbor, this paper establishes different models to predict and classify breast cancer. Machine Learning has potential to predict breast cancer based on features hidden in data. Breast

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Breast Cancer Prediction using Machine Learning Project | Final Year Project for Computer Science

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The Breast Cancer Prediction with Neural Networks and Machine Learning project represents a pivotal advancement in medical diagnostics, specifically focusing on early detection of breast cancer. Employing a sophisticated blend of neural networks and machine learning algorithms, the system meticulously analyzes mammogram images to identify potential signs of breast cancer. By leveraging comprehensive datasets, the

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Breast Cancer Prediction using Machine Learning | Final Year Project Computer Science

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, IMAGE PROCESSING, MACHINE LEARNING /

Breast Cancer Prediction using Python Breast Cancer is a Multifactorial disease and the most common cancer in women around worldwide with approx. 30% of female cancers. Over past 30 years the death rate has decreased while disease is increased. Breast Cancer is a Multifactorial disease and the most common cancer in women around worldwide with

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Breast Cancer Prediction using Machine Learning | Health Related Science Projects

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Breast Cancer Classification using CNN Breast Cancer is deadly and the most common type of cancer in the world.  Based on machine learning algorithm such as random forest, XGBoost, logistic regression and K-nearest neighbor, this paper establishes different models to predict and classify breast cancer. Machine Learning has potential to predict breast cancer based on

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Breast Cancer Classification using Machine Learning | Machine Learning Projects

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Breast Cancer Prediction using Machine Learning Breast cancer is a type of cancer that originates in the breast tissue. It occurs when the cells in the breast grow and divide uncontrollably, forming a tumor. Breast cancer can affect both women and men, although it is much more common in women. There are different types of

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Brain Tumor Detection using Machine Learning Project | Image Processing Projects using Python

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Brain Tumor Detection Web App with Neural Networks The Brain Tumor Detection Web App with Neural Networks is a web-based diagnostic tool that assists in the early detection of brain tumors. Utilizing neural networks and medical imaging data, the application analyzes brain scans to identify potential tumor formations. This tool aims to expedite the diagnostic

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Brain Stroke Detection using Deep Learning | Computer Science Projects for Final Year Students

IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Brain Stroke Prediction using Machine Learning Implementing an AI system for predicting brain strokes in a healthcare setting requires careful planning, data preparation, model development, and validation. Here are the general steps to follow: 1.Define the Objective: Clearly articulate the goals and objectives of the AI system. Decide what specific stroke-related information you want the

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Brain Stroke Detection using Machine Learning | Brain Disease Detection using Deep Learning

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Hey there, welcome to our Blog, A brain stroke, also known as a cerebrovascular accident (CVA), is a medical condition that occurs when there is a disruption in the blood supply to the brain. This disruption can be caused by either a blockage (ischemic stroke) or a rupture (hemorrhagic stroke) of blood vessels in the

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Brain Stroke Classification using CNN | Brain Stroke Detection using Deep Learning

DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING /

Stroke Prediction using Machine Learning The Brain stroke is a cardiovascular disease that occurs when the blood flow becomes abnormal in head region. main cause of this abnormality is disability or death. There are two types of dataset: Stroke and Normal. User have to gave input image and model will predict that person have stroke

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