A screening assistance system for cervical cytology of squamous cell atypia based on a two ‐step combined CNN algorithm with label smoothing
ConclusionThis system combines two deep learning algorithms to enable accurate detection and classification of cell clusters based on the Bethesda system, which has been difficult to achieve in the past. We will conduct further research and development of this system as a platform for augmented reality microscopes for cytological diagnosis.
Source: Cancer Medicine - Category: Cancer & Oncology Authors: Yuta Nambu,
Tasuku Mariya,
Shota Shinkai,
Mina Umemoto,
Hiroko Asanuma,
Ikuma Sato,
Yoshihiko Hirohashi,
Toshihiko Torigoe,
Yuichi Fujino,
Tsuyoshi Saito Tags: RESEARCH ARTICLE Source Type: research
More News: Cancer | Cancer & Oncology | Cervical Cancer | Cytology | Learning | Papanicolaou (Pap) Smear | Squamous Cell Carcinoma | Study | Training | Universities & Medical Training