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Label attention meets deep learning: a novel model for ICD-11 automatic classification of Chinese EMRs

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
GitHub

Vision Transformer (ViT) for Image Classification

This project implements Vision Transformer (ViT) for image classification. Unlike CNNs, ViT splits images into patches and processes them as sequences using transformer architecture. It includes patch ...
Frontiers

A hybrid framework for enhanced segmentation and classification of colorectal cancer histopathology

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India Introduction: Colorectal cancer (CRC) remains one of the leading causes of cancer-related deaths ...
IEEE

SPGFormer: Structure Perception Graph Transformer with Laplacian Position Encoding for Hyperspectral Image Classification

Abstract: With the integration of graph structure representation and self-attention mechanism, graph Transformer demonstrates remarkable effectiveness in hyperspectral image (HSI) classification by ...
Hosted on MSN

Positional Encoding In Transformers | Deep Learning

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Scientific Research Publishing

Yang, W., Li, H., Su, A. and Ding, L. (2023) Application of Problem Based Learning (PBL) and Case Based Learning (CBL) in the Teaching of International Classification of ...

ABSTRACT: Objective: To explore the application effect of BOPPPS combined with case-based learning (CBL) teaching method of three steps and six dimensions in surgical probation. Methods: From January ...