My Github early Examples githubexamplesmyearly UpdatedJul 17, 2018 💎 This gem is in an early stage of development. I would appreciate any comments or suggestions. gemcommentstageearly UpdatedSep 27, 2022 Ruby
Python The objective of this projects is to build a CNN model to accurately detect the presence of Parkinson’s disease in an individual. cnn-keraskeras-callbackparkinsons-diseasecnn-classificationearly-stopping UpdatedJan 23, 2022 Jupyter Notebook ...
With the outbreak of COVID-19 in 2020, countries worldwide faced significant concerns and challenges. Various studies have emerged utilizing Artificial Intelligence (AI) and Data Science techniques for disease detection. Although COVID-19 cases have declined, there are still cases and deaths around ...
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families
The majority of cancerous cases detected by the AI-assisted additional-reader process were invasive (83.3%) and small-sized (≤10 mm, 47.0%). This evaluation suggests that using AI as an additional reader can improve the early detection of breast cancer with relevant prognostic features, ...
Smart devices can easily capture changes in voice, movements, and gait in people with Parkinson’s disease (PD). We investigated whether smartphone-derived multimodal features combined with machine learning algorithms can aid in early PD identification.
The majority of cancerous cases detected by the AI-assisted additional-reader process were invasive (83.3%) and small-sized (≤10 mm, 47.0%). This evaluation suggests that using AI as an additional reader can improve the early detection of breast cancer with relevant prognostic features, ...
The study by33 also focused on the development of an efficient predictive model for coronary heart disease detection. In the study, two predictive models based on the extreme gradient boost (XGBoost) and LR algorithms were modelled. The FHS dataset was used in the study and the missing values...
Preetirai-tech/Brain-Tumor-Detection Star1 This project aims to develop an advanced DL model using CNN to accurately detect and classify brain tumors from MRI scans. opencvcomputer-visiondeep-learningtensorflowkerascnn-classificationsequential-modelsconv2dearlystoppingbatchnormalizationmaxpool2dmodelcheckpoint...