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researcher

S. Kenneth

2 papers hereh-index 217 citations3 works total

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

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedLearning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types

10 citations · 10 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2019★ 10 cited

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types

Shahira Abousamra, Le Hou, Rajarsi Gupta +7

Deep learning classifiers for characterization of whole slide tissue morphology require large volumes of annotated data to learn variations across different tissue and cancer types…

cs.CV2019

Label Super Resolution with Inter-Instance Loss

Maozheng Zhao, Le Hou, Han Le +8

For the task of semantic segmentation, high-resolution (pixel-level) ground truth is very expensive to collect, especially for high resolution images such as gigapixel pathology im…

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