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A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram
  Classification

A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification

21 July 2017
William Lotter
Greg Sorensen
David D. Cox
ArXivPDFHTML

Papers citing "A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification"

11 / 11 papers shown
Title
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification
Asmaa Abbas
M. Gaber
M. Abdelsamea
27
0
0
03 May 2025
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
Oliver Mills
Philip G. Conaghan
Nishant Ravikumar
Samuel D. Relton
MedIm
28
0
0
17 Apr 2025
Unsupversied feature correlation model to predict breast abnormal
  variation maps in longitudinal mammograms
Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms
Jun Bai
Annie Jin
Madison Adams
Clifford Yang
S. Nabavi
13
0
0
28 Dec 2023
Using Weak Supervision and Data Augmentation in Question Answering
Using Weak Supervision and Data Augmentation in Question Answering
Chumki Basu
Binyuan Hui
Allen McIntosh
Wei Wang
J. Wullert
OOD
44
0
0
28 Sep 2023
Human not in the loop: objective sample difficulty measures for
  Curriculum Learning
Human not in the loop: objective sample difficulty measures for Curriculum Learning
Zhengbo Zhou
Jun-Jie Luo
Dooman Arefan
G. Kitamura
Shandong Wu
23
1
0
02 Feb 2023
An interpretable classifier for high-resolution breast cancer screening
  images utilizing weakly supervised localization
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Yiqiu Shen
Nan Wu
Jason Phang
Jungkyu Park
Kangning Liu
...
Laura Heacock
S. G. Kim
Linda Moy
Kyunghyun Cho
Krzysztof J. Geras
21
168
0
13 Feb 2020
Robust breast cancer detection in mammography and digital breast
  tomosynthesis using annotation-efficient deep learning approach
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
William Lotter
A. R. Diab
B. Haslam
Jiye G. Kim
Giorgia Grisot
...
J. Boxerman
Meiyun Wang
Mack Bandler
G. Vijayaraghavan
A. G. Sorensen
8
140
0
23 Dec 2019
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy
  Classification
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
Christoph Haarburger
Michael Baumgartner
Daniel Truhn
Mirjam Broeckmann
Hannah Schneider
S. Schrading
Christiane Kuhl
Dorit Merhof
21
32
0
14 Jun 2019
Classification and Detection in Mammograms with Weak Supervision via
  Dual Branch Deep Neural Net
Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net
R. Bakalo
Rami Ben-Ari
Jacob Goldberger
41
15
0
28 Apr 2019
Varifocal-Net: A Chromosome Classification Approach using Deep
  Convolutional Networks
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks
Yulei Qin
Juan Wen
Hao Zheng
Xiaolin Huang
Jie Yang
Ning-jing Song
Y. Zhu
Lingqian Wu
Guang-Zhong Yang
9
73
0
13 Oct 2018
Conditional Infilling GANs for Data Augmentation in Mammogram
  Classification
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
E. Wu
K. Wu
David D. Cox
William Lotter
MedIm
22
134
0
21 Jul 2018
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