ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network

Volume: 50, Pages: 103 - 110
Published: Nov 22, 2019
Abstract
null null Background null The spatial distributions of different types of cells could reveal a cancer cell's growth pattern, its relationships with the tumor microenvironment and the immune response of the body, all of which represent key “hallmarks of cancer”. However, the process by which pathologists manually recognize and localize all the cells in pathology slides is extremely labor intensive and error prone. null null null Methods null In...
Paper Details
Title
ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network
Published Date
Nov 22, 2019
Volume
50
Pages
103 - 110
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