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Yingtao Zhang

11 papers hereh-index 252.3k citations85 works total

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

author position
  • middle author9
  • last author1

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV11
same name
  • Yingtao Zhang — 5 papers, h 4
  • Yingtao Zhang — 1 paper, h 4

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

activity
20152019
most citedCrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning

208 citations · 286 across the 11 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 2 cited

Abstaining Classification When Error Costs are Unequal and Unknown

Hongjiao Guan, Yingtao Zhang, H. D. Cheng +1

Abstaining classificaiton aims to reject to classify the easily misclassified examples, so it is an effective approach to increase the clasificaiton reliability and reduce the misc…

cs.CV2018

A Hybrid Framework for Tumor Saliency Estimation

Fei Xu, Min Xian, Yingtao Zhang +6

Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality. Most tumor segmentati…

cs.CV2018★ 9 cited

Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A Survey

Boyu Zhang, Yingtao Zhang, H. D. Cheng +4

Osteoarthritis (OA) is one of the major health issues among the elderly population. MRI is the most popular technology to observe and evaluate the progress of OA course. However, t…

cs.CV2018★ 5 cited

BUSIS: A Benchmark for Breast Ultrasound Image Segmentation

Min Xian, Yingtao Zhang, H. D. Cheng +6

Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Comput-er-Aided Diagnosis (CAD) systems. Many BUS segmentation approaches have been studied in the la…

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