Histological Image Segmentation and Classification Using Entropy-Based Convolutional Module

Histological Image Segmentation and Classification Using Entropy-Based Convolutional Module

As the powerful performance of deep learning has been proven, many computer vision researchers have applied deep learning methods to their works as a breakthrough that could not be achieved with conventional computer vision algorithms. Particularly in pathological image analysis, deep learning plays...

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Bibliographic Details
Main Authors: Hwa-Rang Kim, Kwang-Ju Kim, Kil-Taek Lim, Doo-Hyun Choi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Segmentation
deep learning
information theory
Shannon entropy
colorectal cancer image
Online Access:https://ieeexplore.ieee.org/document/9462106/

Internet

https://ieeexplore.ieee.org/document/9462106/

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