ISSN: 2572-4118

Breast Cancer: Current Research
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
  • Short Communication   
  • Breast Can Curr Res 2022, Vol 7(2): 155
  • DOI: 10.4172/2572-4118.1000155

An AI Based System for Helping Pathologists in Evaluating and Counting of Breast Cancer Cells

Emad Rakha*
Department of Histopathology, Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, Nottingham, NG5 1PB, UK
*Corresponding Author : Emad Rakha, Department of Histopathology, Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, Nottingham, NG5 1PB, UK, Email: emadr@gmail.com

Received Date: Apr 02, 2022 / Accepted Date: Apr 27, 2022 / Published Date: Apr 28, 2022

Citation: Rakha E (2022) An AI Based System for Helping Pathologists in Evaluating and Counting of Breast Cancer Cells. Breast Can Curr Res 7: 155. Doi: 10.4172/2572-4118.1000155

Copyright: © 2022 Rakha E. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Top