IEEE

AI-Based Automated Weed Detection System Using YOLOv5 and Mask R-CNN for Sustainable Agriculture

Abstract: Weeds are a big problem for farming, leading to lower crop yields and more use of herbicides and chemicals, affecting economic and environmental sustainability. AI algorithms, especially ...
IEEE

Advanced Teeth Instance Segmentation Using Contextual Spatial Attention and Deeper Mask Head

Abstract: Dental image analysis has advanced significantly with deep learning, yet achieving accurate teeth segmentation remains challenging, particularly with complex structures like adjacent or ...
IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
IEEE

Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks

Abstract: Wildfires continue to occur every year, resulting in millions of acres of burned areas. This makes the task of mapping the burned areas arduous, and it is exacerbated by the fact that many ...
IEEE

S&R-Net: An SAR Image Segmentation and Retrieval Network for Ship Database Building

Abstract: Problems such as background interference and various sizes and types of marine ships still exist in the field of SAR ship image segmentation and retrieval. In this paper, we present a deep ...
IEEE

Image Segmentation using Mask R-CNN for Tumor Detection from Medical Images

Abstract: One of the dreadful diseases that the world encounters today is brain tumor. When abnormal cells form in the brain, it is called a brain tumor. There are lot of variations in sizes and ...
IEEE

Single Image Dehazing Using Fuzzy Region Segmentation and Haze Density Decomposition

Abstract: Images captured under haze weather conditions usually suffer from visual quality degradations, such as blurred details, faded colors, and decreased saturation. Existing physics-based ...
IEEE

Segmentation of Cardiovascular Structures from Screening Non-contrast CT Calcium Score Images Using the Tuned CardioNC-Segmentator on Virtual CTA Images

Abstract: In this work, we outline the development of a deep learning-based segmentation network aimed at automatically segmenting heart chambers using virtual CT angiography (VCT A) data. Inspired by ...
IEEE

Damaged Artwork Restoration Using Mask R-CNN and CA-GAN

Abstract: Art restoration plays a vital role in preserving cultural heritage and maintaining the beauty and history of damaged artwork. Traditional methods require experts, making the process ...
IEEE

River Ice Fine-Grained Segmentation: A GF-2 Satellite Image Dataset and Deep Learning Benchmark

Abstract: Semantic segmentation of river ice images serves as a critical technological foundation for hydrological monitoring and an ice flood early warning system. Current publicly available river ...
IEEE

Boundary-Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning methods, compared to fully supervised learning, offer significant potential to alleviate the burden of manual annotations on clinicians. By leveraging unlabeled data ...
IEEE

Emotion Recognition from Speech Signals Using Hybrid CNN Model

Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...