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Advanced deep convolutional neural network approaches for digital pathology image analysis: A comprehensive evaluation with different use cases

MZ Alom, T Aspiras, TM Taha, VK Asari… - arXiv preprint arXiv …, 2019 - arxiv.org
Deep Learning (DL) approaches have been providing state-of-the-art performance in
different modalities in the field of medical imagining including Digital Pathology Image
Analysis (DPIA). Out of many different DL approaches, Deep Convolutional Neural Network
(DCNN) technique provides superior performance for classification, segmentation, and
detection tasks. Most of the task in DPIA problems are somehow possible to solve with
classification, segmentation, and detection approaches. In addition, sometimes pre and post …
被引用次数：48 相关文章 所有 2 个版本

Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases

M Zahangir Alom, T Aspiras, TM Taha… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Deep Learning (DL) approaches have been providing state-of-the-art performance in
different modalities in the field of medical imagining including Digital Pathology Image
Analysis (DPIA). Out of many different DL approaches, Deep Convolutional Neural Network
(DCNN) technique provides superior performance for classification, segmentation, and
detection tasks. Most of the task in DPIA problems are somehow possible to solve with
classification, segmentation, and detection approaches. In addition, sometimes pre and post …
被引用次数：2 相关文章
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