Deep Learning Applied for Histological Diagnosis of Breast Cancer
Deep learning, as one of the currently most popular computer science research trends, improves neural networks, which has more and deeper layers allowing higher abstraction levels and more accurate data analysis. Although deep convolutional neural networks, as a deep learning algorithm, has recently...
Main Authors: | Yasin Yari, Thuy V. Nguyen, Hieu T. Nguyen |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9186080/ |
Similar Items
-
A Novel Computer-Aided-Diagnosis System for Breast Ultrasound Images Based on BI-RADS Categories
by: Yi-Wei Chang, et al.
Published: (2020-03-01) -
Classification of Breast Cancer Histology Images Using Multi-Size and Discriminative Patches Based on Deep Learning
by: Yuqian Li, et al.
Published: (2019-01-01) -
A High-Accuracy Model Average Ensemble of Convolutional Neural Networks for Classification of Cloud Image Patches on Small Datasets
by: Van Hiep Phung, et al.
Published: (2019-10-01) -
Multi-Size Convolution and Learning Deep Network for SAR Ship Detection From Scratch
by: Long Han, et al.
Published: (2020-01-01) -
A Comprehensive Review of Computer-Aided Diagnosis of Pulmonary Nodules Based on Computed Tomography Scans
by: Wenming Cao, et al.
Published: (2020-01-01)