Unsupervised Segmentation in NSCLC: How to Map the Output of Unsupervised Segmentation to Meaningful Histological Labels by Linear Combination?

Loss odyssey in medical image segmentation

(2021) Jun Ma et al.   MEDICAL IMAGE ANALYSIS

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation

(2021) Michael Yeung et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Deep Learning for the Classification of Small-Cell and Non-Small-Cell Lung Cancer

(2020) Mark Kriegsmann et al.   Cancers

Artificial Intelligence-Based Multiclass Classification of Benign or Malignant Mucosal Lesions of the Stomach

(2020) Bowei Ma et al.   Frontiers in Pharmacology

Boundary loss for highly unbalanced segmentation

(2020) Hoel Kervadec et al.   MEDICAL IMAGE ANALYSIS

Simultaneous Cell Detection and Classification in Bone Marrow Histology Images

(2018) Tzu-Hsi Song et al.   IEEE Journal of Biomedical and Health Informatics

Deep Learning for Health Informatics

(2017) Daniele Ravi et al.   IEEE Journal of Biomedical and Health Informatics

QuPath: Open source software for digital pathology image analysis

(2017) Peter Bankhead et al.   Scientific Reports

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

(2016) Jun Xu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING