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Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features

Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features

Unaiza Sajid
Rizwan Ahmed Khan
S. M. Shah
Sheeraz Arif
    OOD
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Papers citing "Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features"

11 / 11 papers shown
Title
Machine learning and deep learning
Machine learning and deep learning
Christian Janiesch
Patrick Zschech
Kai Heinrich
39
1,209
0
12 Apr 2021
Secondary Use of Electronic Health Record: Opportunities and Challenges
Secondary Use of Electronic Health Record: Opportunities and Challenges
S. M. Shah
Rizwan Ahmed Khan
52
78
0
26 Jan 2020
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
Jamshed Memon
Maira Sami
Rizwan Ahmed Khan
69
332
0
01 Jan 2020
Breast Tumor Segmentation and Shape Classification in Mammograms using Generative Adversarial and Convolutional Neural Network
Breast Tumor Segmentation and Shape Classification in Mammograms using Generative Adversarial and Convolutional Neural Network
V. Singh
Hatem A. Rashwan
S. Romaní
Farhan Akram
Nidhi Pandey
...
Adel Saleh
M. Arenas
Miguel Arquez
D. Puig
J. Torrents-Barrena
MedIm
GAN
52
186
0
05 Sep 2018
Can Autism be Catered with Artificial Intelligence-Assisted Intervention Technology? A Literature Review
Can Autism be Catered with Artificial Intelligence-Assisted Intervention Technology? A Literature Review
Muhammad Shoaib Jaliaawala
Rizwan Ahmed Khan
35
50
0
14 Mar 2018
On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
Abien Fred Agarap
55
232
0
20 Nov 2017
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms
Wentao Zhu
Xiang Xiang
T. Tran
Gregory Hager
Xiaohui Xie
MedIm
33
113
0
24 Oct 2017
Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography
Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography
Li Shen
L. Margolies
J. Rothstein
Eugene Fluder
R. McBride
W. Sieh
MedIm
55
765
0
30 Aug 2017
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
T. Potok
Catherine D. Schuman
Steven R. Young
Robert M. Patton
F. Spedalieri
Jeremy Liu
Ke-Thia Yao
Garrett S. Rose
Gangotree Chakma
46
81
0
15 Mar 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
377
14,247
0
23 Feb 2016
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
460
43,649
0
17 Sep 2014

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