MLMSA: Multi-Level and Multi-Scale Attention for Lesion Detection in Endoscopy-Reference-Cited by-同舟云学术

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MLMSA: Multi-Level and Multi-Scale Attention for Lesion Detection in Endoscopy

Published:2023-12-15 Issue: Volume: Page:144-150
ISSN:
Container-title:2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom)
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Author:

Zhang Zhang¹,Wang Xizhe¹,Chen Shuijiao²,Liu Xiaowei²,Chen Qilei¹,Zhang Yizhe³,Cao Yu¹,Liu Benyuan¹

Affiliation:

1. Miner School of Computer & Information Sciences, University of Massachusetts Lowell

2. Xiangya Hospital of Central South University,Department of Gastroenterology

3. School of Computer Science and Engineering, Nanjing University of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10472302/10472335/10472340.pdf?arnumber=10472340

Reference35 articles.

1. Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data

2. A Lesion-Based Convolutional Neural Network Improves Endoscopic Detection and Depth Prediction of Early Gastric Cancer

3. Gastric Cancer Detection from Endoscopic Images Using Synthesis by GAN

4. Construction and Multicenter Diagnostic Verification of Intelligent Recognition System for Endoscopic Images From Early Gastric Cancer Based on YOLO-V3 Algorithm

5. An Improved Method of Polyp Detection Using Custom YOLOv4-Tiny

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