• Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer 

      Ehteshami Bejnordi, Babak; Veta, Mitko; Johannes van Diest, Paul; van Ginneken, Bram; Karssemeijer, Nico; ... more authors ( American Medical Association , 2017 , Article)
      IMPORTANCE: Application of deep learning algorithms to whole-slide pathology imagescan potentially improve diagnostic accuracy and efficiency. OBJECTIVE: Assess the performance of automated deep learning algorithms at ...
    • Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images 

      Awan, Ruqayya; Sirinukunwattana, Korsuk; Epstein, David; Jefferyes, Samuel; Qidwai, Uvais; ... more authors ( Nature Publishing Group , 2017 , Article)
      Determining the grade of colon cancer from tissue slides is a routine part of the pathological analysis. In the case of colorectal adenocarcinoma (CRA), grading is partly determined by morphology and degree of formation ...
    • Glandular structure-guided classification of microscopic colorectal images using deep learning 

      Awan, Ruqayya; Al-Maadeed, Somaya; Al-Saady, Rafif; Bouridane, Ahmed ( Elsevier Ltd , 2019 , Article)
      In this work, we propose to automate the pre-cancerous tissue abnormality analysis by performing the classification of image patches using a novel two-stage convolutional neural network (CNN) based framework. Rather than ...
    • How divided is a cell? Eigenphase nuclei for classification of mitotic phase in cancer histology images 

      Awan, Ruqayya; Aloraidi, Nada; Qidwai, Uvais; Rajpoot, Nasir ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Detection of mitotic cells in histology images is an important but challenging process due to the resemblance of mitotic cells with other non-mitotic cells and also due to the different appearance of mitotic cells undergoing ...
    • Using spectral imaging for the analysis of abnormalities for colorectal cancer: When is it helpful? 

      Awan, R.; Awan, Ruqayya; Al-Maadeed, Somaya; Al-Saady, Rafif ( Public Library of Science , 2018 , Article)
      © 2018 Awan et al. 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 ...