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researcher

D. Snead

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20172019
most citedNovel digital tissue phenotypic signatures of distant metastasis in colorectal cancer

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

eess.IV2019

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images

Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz +3

Digital histology images are amenable to the application of convolutional neural network (CNN) for analysis due to the sheer size of pixel data present in them. CNNs are generally…

cs.CV2018★ 1 cited

Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer

Korsuk Sirinukunwattana, David Snead, David Epstein +5

Distant metastasis is the major cause of death in colorectal cancer (CRC). Patients at high risk of developing distant metastasis could benefit from appropriate adjuvant and follow…

cs.CV2017

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues

Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb +19

Evaluating expression of the Human epidermal growth factor receptor 2 (Her2) by visual examination of immunohistochemistry (IHC) on invasive breast cancer (BCa) is a key part of th…

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