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Jiahui Li

4 papers hereh-index 9825 citations11 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Jiahui Li — 32 papers, h 21
  • Jiahui Li — 17 papers, h 3
  • Jiahui Li — 10 papers, h 8
  • Jiahui Li — 6 papers, h 9
  • Jiahui Li — 6 papers, h 3
  • Jiahui Li — 5 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSignet Ring Cell Detection With a Semi-supervised Learning Framework

16 citations · 16 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021

Hybrid Supervision Learning for Pathology Whole Slide Image Classification

Jiahui Li, Wen Chen, Xiaodi Huang +5

Weak supervision learning on classification labels has demonstrated high performance in various tasks, while a few pixel-level fine annotations are also affordable. Naturally a que…

eess.IV2019

Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network

Hong Yu, Xiaofan Zhang, Lingjun Song +20

Gastric cancer is one of the most common cancers, which ranks third among the leading causes of cancer death. Biopsy of gastric mucosa is a standard procedure in gastric cancer scr…

cs.CV2019

Accurate Nuclear Segmentation with Center Vector Encoding

Jiahui Li, Zhiqiang Hu, Shuang Yang

Nuclear segmentation is important and frequently demanded for pathology image analysis, yet is also challenging due to nuclear crowdedness and possible occlusion. In this paper, we…

cs.CV2019★ 16 cited

Signet Ring Cell Detection With a Semi-supervised Learning Framework

Jiahui Li, Shuang Yang, Xiaodi Huang +6

Signet ring cell carcinoma is a type of rare adenocarcinoma with poor prognosis. Early detection leads to huge improvement of patients' survival rate. However, pathologists can onl…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.