IEEE

A Review of Image Semantic Segmentation for Remote Sensing Image

Abstract: With the rapid development of remote sensing technology, semantic segmentation of high-resolution aerial images has become a research hotspot in fields such as land planning and disaster ...
IEEE

MoE-Morph: Lightweight Pyramid Model with Heterogeneous Mixture of Experts for Deformable Medical Image Registration

Abstract: Deformable image registration aims to achieve nonlinear alignment of image spaces by estimating dense displacement fields. It is widely used in clinical tasks such as surgical planning, ...
IEEE

Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models

Abstract: We explore Generalizable Tumor Segmentation, aiming to train a single model for zero-shot tumor segmentation across diverse anatomical regions. Existing methods face limitations related to ...
IEEE

Study on Depression Detection Model with Self-Supervised Speech Representation: The Architecture of wav2vec2-LSTM-CNN

Abstract: Depression is a common mental disorder with increasing global incidence rates. Traditional diagnostic methods rely on subjective assessments, which are time-consuming, costly, and lack ...
IEEE

Accurate Fake News Detection in Text-Based Content Using K-Nearest Neighbor, LSTM, MLP and CNN Models

Abstract: With the proliferation of social media platforms, where users are free to express themselves and share content, the detection of fake news in text has become an important issue. The ...
IEEE

CrackSight: An Efficient Crack Segmentation Model in Varying Acquisition Ranges and Complex Backgrounds

Abstract: Accurate crack segmentation in concrete transportation infrastructures is critical for ensuring structural integrity and facilitating timely maintenance interventions. This paper presents ...
IEEE

MCPNET: A 3D Coronary Artery Segmentation Network with Parallel Fusion of Mamba and CNN

Abstract: Coronary artery segmentation is prone to vessel segmentation errors and discontinuities due to the complex vessel morphology and interference from surrounding tissues in coronary imaging. To ...
IEEE

Short-term prediction of wind turbine power based on improved CNN-LSTM hybrid model

Abstract: Precise short-term prediction of wind turbine power is crucial for optimizing power dispatching, enhancing power grid reliability, and improving wind power consumption capabilities. This ...
IEEE

HSIGene: A Foundation Model for Hyperspectral Image Generation

Abstract: Hyperspectral image (HSI) plays a vital role in various fields such as agriculture and environmental monitoring. However, due to the expensive acquisition cost, the number of hyperspectral ...
IEEE

Comparison of CNN and Transformer Models for Predicting the Effects of Anti-VEGF Drugs on Ovarian Cancer from Histopathology Images

Abstract: Anti-vascular endothelial growth factor (anti-VEGF) therapy, such as Bevacizumab, treats colorectal, lung, kidney and breast cancer patients. In 2018, it was approved for treating ovarian ...
IEEE

Asymmetric Mamba–CNN Collaborative Architecture for Large-Size Remote Sensing Image Semantic Segmentation

Large-size remote sensing images contain rich geographical information. Efficient and accurate semantic segmentation of these images is of significant importance in various fields. However, the ...
IEEE

Mask R-CNN-based bushing segmentation with refined feature extraction and precise localization

Abstract: Accurate localization and segmentation of power equipment are critical for automated inspection systems, particularly in detecting structural and thermal anomalies. However, the task remains ...