Integrating Heterogeneous Graphs Using Graph Transformer Encoder for Solving Math Word Problems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3257571
Abstract: This paper introduces a novel method that integrates structural information with training deep neural models to solve math word problems. Prior works adopt the graph structure to represent rich information residing in the input sentences.… read more here.
Keywords: heterogeneous graphs; graph; transformer encoder; math word ... See more keywords
A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms
Sign Up to like & getrecommendations! Published in 2022 at "Biomedicines"
DOI: 10.3390/biomedicines10112971
Abstract: Breast cancer, which attacks the glandular epithelium of the breast, is the second most common kind of cancer in women after lung cancer, and it affects a significant number of people worldwide. Based on the… read more here.
Keywords: cancer; classification; breast; breast cancer ... See more keywords
ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics13010089
Abstract: Early detection of breast cancer is an essential procedure to reduce the mortality rate among women. In this paper, a new AI-based computer-aided diagnosis (CAD) framework called ETECADx is proposed by fusing the benefits of… read more here.
Keywords: diagnosis; breast; multi class; breast cancer ... See more keywords