Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

• मुख्य लेखकों: Andrew Janowczyk (लेखक), Anant Madabhushi (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: Elsevier, 2016-01-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: Connect to this object online.

Background: Deep learning (DL) is a representation learning approach ideally suited for image analysis challenges in digital pathology (DP). The variety of image analysis tasks in the context of DP includes detection and counting (e.g., mitotic events), segmentation (e.g., nuclei), and tissue classi...