• 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 ...
    • A lightweight neural network with multiscale feature enhancement for liver CT segmentation 

      Ansari, Mohammed Yusuf; Yang, Yin; Balakrishnan, Shidin; Abinahed, Julien; Al-Ansari, Abdulla; ... more authors ( Nature Research , 2022 , Article)
      Segmentation of abdominal Computed Tomography (CT) scan is essential for analyzing, diagnosing, and treating visceral organ diseases (e.g., hepatocellular carcinoma). This paper proposes a novel neural network (Res-PAC-UNet) ...