Results 61 to 70 of about 192,101 (191)
Swin-HViT for accurate crop disease prediction using an adaptive hybrid transformer model
Discover Artificial IntelligenceAgriculture plays a pivotal role in global economic growth, yet it faces significant challenges from pests and crop diseases. Early detection is crucial for preventing large-scale crop losses and ensuring food security.
Hemalatha Gunasekaran +5 more
doaj +1 more source
Improving Benign and Malignant Classifications in Mammography with ROI-Stratified Deep Learning
BioengineeringDeep learning has achieved widespread adoption for medical image diagnosis, with extensive research dedicated to mammographic image analysis for breast cancer screening.
Kenji Yoshitsugu +2 more
doaj +1 more source
DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 more
wiley +1 more source
Cryo-electron micrograph images have various characteristics such as varying sizes, shapes, and distribution densities of individual particles, severe background noise, high levels of impurities, irregular shapes, blurred edges, and similar color to the ...
JinLing Wang (18334331) +6 more
core +1 more source
SPT-Swin: A Shifted Patch Tokenization Swin Transformer for Image Classification
IEEE AccessRecently, the transformer-based model e.g., the vision transformer (ViT) has been extensively used in computer vision tasks. The superior performance of the ViT leads to the requirement of an enormous dataset and the complexity of calculating self ...
Gazi Jannatul Ferdous +3 more
doaj +1 more source
Auto‐ISC: Inter‐Sample Contrastive Learning for Automated Curve Angle Calculation From Ultrasound
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Scoliosis assessment has been increasingly supported by AI‐assisted tools, enabling more efficient and standardised clinical workflows. However, existing ultrasound‐based pipelines often suffer from limited generalisation and unstable performance.
Chen Zhang +3 more
wiley +1 more source
The effect of Swin-Transformer-YOLOV5 and YOLOV5S on 6 types of defects detection.
The effect of Swin-Transformer-YOLOV5 and YOLOV5S on 6 types of defects detection.
Haoyue Huang (3450605) +2 more
core +1 more source
SUNet: Swin Transformer UNet for Image Denoising
, 2022 Image restoration is a challenging ill-posed problem which also has been a long-standing issue. In the past few years, the convolution neural networks (CNNs) almost dominated the computer vision and had achieved considerable success in different levels ...
Liu, Kuan-Hsien +2 more
core +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Brain tumour classification is a critical task in medical imaging that requires accurate and interpretable solutions to assist in clinical decision‐making. In this paper, we present GraphConvNet‐X, a novel hybrid model that integrates convolutional neural networks (CNNs) for spatial feature extraction with graph neural networks (GNNs) that ...
Sultanul Arifeen Hamim +4 more
wiley +1 more source
Visualizing Image Segmentation Network Behavior Through the Lens of Scale Space Analysis
Computer Graphics Forum, EarlyView.Abstract Deep neural networks are widely used for image segmentation, also in sensitive applications such as medical imaging or autonomous driving. However, few explainable AI methods are available that help developers understand such networks beyond classification.
A. C. Mikliss, T. Schultz
wiley +1 more source