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researcher

Sushma Gaddam

2 papers hereh-index 5645 citations7 works total

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

author position
  • middle author2

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

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedDeep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

70 citations · 71 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 1 cited

An efficient deep neural network to find small objects in large 3D images

Jungkyu Park, Jakub Chłędowski, Stanisław Jastrzębski +19

3D imaging enables accurate diagnosis by providing spatial information about organ anatomy. However, using 3D images to train AI models is computationally challenging because they…

cs.LG2019★ 70 cited

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Nan Wu, Jason Phang, Jungkyu Park +29

We present a deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 exams (over 1,000,000 images). Our network ach…

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