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Improved Breast Mass Segmentation in Mammograms with Conditional
  Residual U-net

Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net

27 August 2018
Heyi Li
Dongdong Chen
B. Nailon
Mike Davies
Dave Laurenson
    SSeg
ArXivPDFHTML

Papers citing "Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net"

5 / 5 papers shown
Title
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
Shehzeen Samarah Hussain
Todd P. Huster
Chris Mesterharm
Paarth Neekhara
Kevin R. An
Malhar Jere
Harshvardhan Digvijay Sikka
F. Koushanfar
AAML
18
6
0
09 Jun 2022
Deep Active Contours Using Locally Controlled Distance Vector Flow
Deep Active Contours Using Locally Controlled Distance Vector Flow
Parastoo Akbarimoghaddam
Atefeh Ziaei
H. Azarnoush
27
5
0
18 May 2021
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
25
1,044
0
02 Nov 2020
Signed Laplacian Deep Learning with Adversarial Augmentation for
  Improved Mammography Diagnosis
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis
Heyi Li
Dongdong Chen
W. Nailon
Mike E. Davies
Dave Laurenson
MedIm
20
15
0
30 Jun 2019
A Deep DUAL-PATH Network for Improved Mammogram Image Processing
A Deep DUAL-PATH Network for Improved Mammogram Image Processing
Heyi Li
Dongdong Chen
W. Nailon
Mike E. Davies
Dave Laurenson
AI4CE
11
21
0
01 Mar 2019
1