◍wovepaper
SearchResearchersInstitutions
Sign in
institution

Breast Cancer Now

United Kingdom

2 papers here32 citations across 2
fields
  • cs.CL1
  • cs.CV1
ROR 02qa92s63OpenAlex

affiliations via OpenAlex

most citedLeveraging large language models for structured information extraction from pathology reports

24 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • A. Dodson1 · h 35
  • Amy Berrington de González1
  • B. Gusterson1 · h 75
  • D. Adams1 · h 3
  • I. Roxanis1 · h 25
  • J. Balasubramanian1 · h 3
  • Jonas S. Almeida1 · h 1
  • M. Dowsett1 · h 143
  • Montserrat Garcia-Closas1 · h 1
  • P. Coulson1 · h 16
  • P. Narayanan1 · h 15
  • Shan E Ahmed Raza1
collaborating institutions
  • Institute of Cancer ResearchGB2 papers
  • Cancer Research UKGB1 paper
  • Imperial College LondonGB1 paper
  • London CancerGB1 paper
  • National Cancer InstituteUS1 paper
  • Royal Marsden HospitalGB1 paper

2 papers

cs.CL2025★ 24 cited

Leveraging large language models for structured information extraction from pathology reports

Jeya Balaji Balasubramanian, Daniel Adams, Ioannis Roxanis +4

Background: Structured information extraction from unstructured histopathology reports facilitates data accessibility for clinical research. Manual extraction by experts is time-co…

cs.CV2018★ 8 cited

DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images

Priya Lakshmi Narayanan, Shan E Ahmed Raza, Andrew Dodson +3

Ki67 is an important biomarker for breast cancer. Classification of positive and negative Ki67 cells in histology slides is a common approach to determine cancer proliferation stat…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.