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Shao-Qun Zeng

4 papers hereh-index 81k citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedAn Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features

3 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

Building artificial intelligence virtual tissue (AIVT) for tissue state representation, feature prediction, and dynamic simulation

Qiqi Lu, Qianjin Feng, Shaoqun Zeng +1

Modeling tissue states and their transitions is essential for understanding tissue homeostasis in health and pathological remodeling in disease. However, conventional computational…

cs.CV2022★ 1 cited

Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data

Ziquan Wei, Shenghua Cheng, Jing Cai +3

Cervical glandular cell (GC) detection is a key step in computer-aided diagnosis for cervical adenocarcinomas screening. It is challenging to accurately recognize GCs in cervical s…

cs.CV2021★ 3 cited

An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features

Ziquan Wei, Shenghua Cheng, Junbo Hu +3

Digital gigapixel whole slide image (WSI) is widely used in clinical diagnosis, and automated WSI analysis is key for computer-aided diagnosis. Currently, analyzing the integrated…

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