IEEE

Fully Perturbed Self-Ensemble Framework using Cascaded Parallel CNN-Transformer for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
IEEE

Brain Cancer MRI Classification using CNN Architectures with Grid Search Enhanced with Coordinate Ascent Optimization

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
IEEE

Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework

Abstract: At present, mitosis detection in breast histopathology images is a critical issue for breast cancer grading. Due to the breast tissue having a complex structure, and mitosis and non-mitosis ...
KESQ News

Democrat Taylor Rehmet flips a Texas state Senate seat Trump won by 17 points, CNN projects

(CNN) — Democrats notched another victory Saturday in special elections during President Donald Trump’s second term, flipping a seat in the Texas Senate that Trump won by 17 points in 2024. Taylor ...
IEEE

Dual-Graph Knowledge Distillation Meets Multiscale CNN: A Novel Ensemble Approach for Few-Shot Hyperspectral Image Classification

Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI, facilitating precise identification and differentiation of various land cover types. In recent years, graph neural ...
CNN

Trump ‘Won’t Use Force’, MN Legal Showdowns, Eastern Winter Storm and more

President Donald Trump seemed to rule out using force to take Greenland in his speech at Davos. Meanwhile, Trump is set to meet with Ukraine’s President Volodymyr Zelensky at the summit. The legal ...
IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
IEEE

Reconstruction-Enhanced Prototype Network for Hyperspectral Image Open-Set Classification

Abstract: With the gradual maturity of deep learning technology and its extensive application in the field of remote sensing, hyperspectral image (HSI) classification technology has made tremendous ...
IEEE

Few-Shot Lifelong Hyperspectral Image Classification With Dual-Branch Contrast and Geometric Alignment

Abstract: Hyperspectral image (HSI) classification in few-shot lifelong learning faces dual challenges: catastrophic forgetting from inaccessible historical training samples and overfitting due to ...