Breast cancer segmentation from ultrasound images using deep dual-decoder technology with attention network
This paper introduces a deep learning approach for breast cancer segmentation from
ultrasound imaging using a Dual Decoder Attention ResUNet (DDA-AttResUNet). DDA …
ultrasound imaging using a Dual Decoder Attention ResUNet (DDA-AttResUNet). DDA …
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification
E Sadeghnezhad, S Salem - arXiv preprint arXiv:2402.02274, 2024 - arxiv.org
Initial weighting is significant in deep neural networks because the random selection of
weights produces different outputs and increases the probability of overfitting and …
weights produces different outputs and increases the probability of overfitting and …
Deep learning and genetic algorithm-based ensemble model for feature selection and classification of breast ultrasound images
MF Dar, A Ganivada - Image and Vision Computing, 2024 - Elsevier
Feature extraction and selection are important techniques in the classification of medical
images. Extraction of key features and selection of relevant features are the preliminary …
images. Extraction of key features and selection of relevant features are the preliminary …
A hybrid U‐shaped and transformer network for change detection in high‐resolution remote sensing images
H Wu, M Yuan, T Zhan - IET Image Processing, 2024 - Wiley Online Library
Deep convolutional neural networks based remote sensing change detection has recently
shown significant performance improvement. However, small region changes and global …
shown significant performance improvement. However, small region changes and global …
A segmentation-based algorithm for classification of benign and malignancy Thyroid nodules with multi-feature information
Z Zheng, E Liang, Y Zhang, Z Weng, J Chai… - Biomedical Engineering …, 2024 - Springer
The aim of this study is to propose a new diagnostic model based on" segmentation+
classification" to improve the routine screening of Thyroid nodule ultrasonography by …
classification" to improve the routine screening of Thyroid nodule ultrasonography by …
[HTML][HTML] A robust encoder decoder based weighted segmentation and dual staged feature fusion based meta classification for breast cancer utilizing ultrasound …
Ultrasound imaging has become one of the most frequently employed modalities to detect
and classify breast irregularities, which is a relatively cost-effective and important …
and classify breast irregularities, which is a relatively cost-effective and important …