Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network

Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network

Microcalcification clusters in mammograms are one of the major signs of breast cancer. However, the detection of microcalcifications from mammograms is a challenging task for radiologists due to their tiny size and scattered location inside a denser breast composition. Automatic CAD systems need to...

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Bibliographic Details
Main Authors: Khalil ur Rehman, Jianqiang Li, Yan Pei, Anaa Yasin, Saqib Ali, Tariq Mahmood
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
microcalcification detection
image processing
fully connected depthwise convolutional neural network
breast cancer
Online Access:https://www.mdpi.com/1424-8220/21/14/4854

Internet

https://www.mdpi.com/1424-8220/21/14/4854

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