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FocusLiteNN: High Efficiency Focus Quality Assessment for Digital
  Pathology
v1v2 (latest)

FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
11 July 2020
Zhongling Wang
Mahdi S. Hosseini
Adyn Miles
Konstantinos N. Plataniotis
Zhou Wang
ArXiv (abs)PDFHTML

Papers citing "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"

4 / 4 papers shown
DPC-QA Net: A No-Reference Dual-Stream Perceptual and Cellular Quality Assessment Network for Histopathology Images
DPC-QA Net: A No-Reference Dual-Stream Perceptual and Cellular Quality Assessment Network for Histopathology Images
Qijun Yang
Boyang Wang
Hujun Yin
88
0
0
19 Sep 2025
Automated Quality Evaluation of Cervical Cytopathology Whole Slide Images Based on Content Analysis
Automated Quality Evaluation of Cervical Cytopathology Whole Slide Images Based on Content Analysis
Lanlan Kang
Jian Wang
Jian QIn
Yiqin Liang
Yongjun He
193
1
0
20 May 2025
Semantic Segmentation Based Quality Control of Histopathology Whole Slide Images
Semantic Segmentation Based Quality Control of Histopathology Whole Slide Images
Abhijeet Patil
Garima Jain
Harsh Diwakar
Jay Sawant
Tripti Bameta
Swapnil Rane
A. Sethi
225
2
0
04 Oct 2024
Learning-Based Quality Assessment for Image Super-Resolution
Learning-Based Quality Assessment for Image Super-ResolutionIEEE transactions on multimedia (TMM), 2020
Tiesong Zhao
Yuting Lin
Yiwen Xu
Weiling Chen
Zhou Wang
187
35
0
16 Dec 2020
1
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