ArchLynk KAI for Product Classification Now Available on the SAP® Store

AI-powered solution automates global trade product classification and improves compliance accuracy SAN JOSE, CA, UNITED ...
CERN Courier

A thousand anomalies hiding in plain sight

Systematic human inspection of the millions of source cutouts in the Hubble Legacy Archive is impossible – but artificial ...
Scientific Research Publishing

Efficiency of Classification Algorithms in Monitoring Land Use through Remote Sensing in Sissili Province of Burkina Faso ()

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
ascopubs.org

Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification

First, we pretrained the encoder of a transformer-based network using a self-supervised approach on unlabeled abdominal computed tomography images. Subsequently, we fine-tuned the segmentation network ...
IEEE

Self-Supervised Mamba for Hyperspectral Image Classification

Abstract: Recent advances in Mamba-based architectures have demonstrated promising potential for hyperspectral image classification (HSIC), offering linear-complexity long-range dependency modeling.
Scientific Research Publishing

Xie, Y., Zhang, J. and Xia, Y. (2019) Semi-Supervised Adversarial Model for Benign-Malignant Lung Nodule Classification on Chest CT. Medical Image Analysis, 57, 237-248.

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...
EurekAlert!

Boundary-aware semi-supervised segmentation boosts 3D medical image accuracy

A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...