A pathologist-annotated dataset for validating artificial intelligence: A project description and pilot study

• প্রধান লেখক: Sarah N Dudgeon (লেখক), Si Wen (লেখক), Matthew G Hanna (লেখক), Rajarsi Gupta (লেখক), Mohamed Amgad (লেখক), Manasi Sheth (লেখক), Hetal Marble (লেখক), Richard Huang (লেখক), Markus D Herrmann (লেখক), Clifford H Szu (লেখক), Darick Tong (লেখক), Bruce Werness (লেখক), Evan Szu (লেখক), Denis Larsimont (লেখক), Anant Madabhushi (লেখক), Evangelos Hytopoulos (লেখক), Weijie Chen (লেখক), Rajendra Singh (লেখক), Steven N Hart (লেখক), Ashish Sharma (লেখক), Joel Saltz (লেখক), Roberto Salgado (লেখক), Brandon D Gallas (লেখক)
• বিন্যাস: গ্রন্থ
• প্রকাশিত: Elsevier, 2021-01-01T00:00:00Z.
• বিষয়গুলি: article
• অনলাইন ব্যবহার করুন: Connect to this object online.

Purpose: Validating artificial intelligence algorithms for clinical use in medical images is a challenging endeavor due to a lack of standard reference data (ground truth). This topic typically occupies a small portion of the discussion in research papers since most of the efforts are focused on dev...