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

Mask R-CNN Instance Segmentation with OpenCV

This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.
IEEE

An Efficient Malicious Activity Detection Model for Video Surveillance with Deep CNN model Using Positional Inclination Features

Abstract: The problem of activity classification towards video surveillance has been well studied. Various approaches are recommended by researchers in literature but struggle to meet the accuracy ...
IEEE

Deep Learning-based MR Image Segmentation for Brain Tumor Detection using EAU-Net

Abstract: Brain tumor segmentation is essential in medical image analysis, as it contributes directly to early diagnosis and treatment design. Existing methodologies such as Particle Swarm ...
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 ...
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 ...
TechCrunch

Snapchat’s new Lens lets you create AI images using text prompts

Snapchat is launching a new Lens that lets users create and edit images using a text-to-image AI generator, the company told TechCrunch exclusively. The new “Imagine Lens” is available to Snapchat+ ...
IEEE

Design of an improved model for real-time fault detection and localization using hybrid transformer-CNN and graph neural networks

Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...
GitHub

FaultSeg3D: using synthetic datasets to train an end-to-end convolutional neural network for 3D seismic fault segmentation

If you would just like to try out a pretrained example model, then you can download the pretrained model and use the 'prediction.ipynb' script to run a demo. On 05/07/2020, new models are uploaded for ...
ABC News

Shein launches investigation after using likeness of Luigi Mangione to model clothing

The company has since taken down the image of the accused killer. Fast fashion giant Shein is conducting an investigation of its internal processes after using the likeness of Luigi Mangione to model ...