IEEE

AP-Net: Semi-Supervised Ultrasound Cardiac Segmentation Using Enhanced Anatomical Prior

Abstract: Semi-supervised segmentation is gaining popularity in medical image analysis due to challenges in data acquisition and annotation. However, most methods focus on generating additional ...
IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
GitHub

Pull requests: srirammulukuntla11/Instance-Segmentation-using-Mask-R-CNN-with-Python-and-OpenCV

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
IEEE

Automated Cervical Cell Segmentation using Residual Learning and Attention Mechanism for the Cervical Cancer Diagnosis

Abstract: Cervical cancer, one of the common deadly gynaecological cancers among women, can be prevented by regular screening to detect the existence of any premalignant cervical cells at the ...
IEEE

Rice Disease Detection and Classification Using Mask R-CNN and DenseNet

Abstract: Rice is an essential crop in the world food supply. As the consumption of rice grows, its production has fallen due to diseases. These diseases are able to spread quickly, leading to ...
WRAL

Duke University pilot project examining pros and cons of using artificial intelligence in college

DURHAM, N.C. (AP) — As generative artificial intelligence tools like ChatGPT have become increasingly prevalent in academic settings, faculty and students have been forced to adapt. The debut of ...
IEEE

Probabilistic Forecasting for Battery Health Estimation Using CNN-LSTM on Augmented Multi-Operation Data

Abstract: Ensuring the safety and reliability of electric vehicles and energy storage systems requires an effective evaluation of lithium-ion battery State of Health (SOH). Most current methods are ...
americanbazaaronline.com

Indian American Penn students use machine learning to track and protect whales

As whales face harm from ship strikes, fishing net entanglements, and redistribution of prey due to changes in ocean temperature, it’s increasingly important to track their locations and populations ...
GitHub

Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...
IEEE

iLog 3.0: Estimating Food Volume from 2D Images Using Mask R-CNN and Monocular Depth Estimation

Abstract: To maintain a healthy and balanced lifestyle, it is essential to consume food in proportion to one’s individual needs. The proportions of the food consumed need to be calculated to determine ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
GitHub

Releases: Saksham932007/Object-Detection-using-mask-R-CNN

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.