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Attention Enriched Deep Learning Model for Breast Tumor Segmentation in
  Ultrasound Images

Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images

20 October 2019
Aleksandar Vakanski
Min Xian
Phoebe E. Freer
ArXivPDFHTML

Papers citing "Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images"

17 / 17 papers shown
Title
Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of
  Tumors in Breast Ultrasound Images
Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images
Sina Derakhshandeh
Ali Mahloojifar
30
0
0
01 Sep 2024
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention
  for medical image Classification
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification
Elham Sadeghnezhad
Sajjad Salem
17
3
0
03 Feb 2024
Decomposing and Coupling Saliency Map for Lesion Segmentation in
  Ultrasound Images
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images
Zhenyuan Ning
Yixiao Mao
Qianjin Feng
Shengzhou Zhong
Yu Zhang
13
0
0
02 Aug 2023
Attention Mechanisms in Medical Image Segmentation: A Survey
Attention Mechanisms in Medical Image Segmentation: A Survey
Yutong Xie
Bing Yang
Qi Guan
Jianpeng Zhang
Qi Wu
Yong-quan Xia
ViT
MedIm
19
16
0
29 May 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future
  Directions
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
Luyang Luo
Xi Wang
Yi-Mou Lin
Xiaoqi Ma
Andong Tan
R. Chan
V. Vardhanabhuti
W. C. Chu
Kwang-Ting Cheng
Hao Chen
27
50
0
13 Apr 2023
Joint localization and classification of breast tumors on ultrasound
  images using a novel auxiliary attention-based framework
Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework
Zong Fan
Ping Gong
Shanshan Tang
Christine U. Lee
Xiaohui Zhang
P. Song
Shigao Chen
Hua Li
10
2
0
11 Oct 2022
Recent Progress in Transformer-based Medical Image Analysis
Recent Progress in Transformer-based Medical Image Analysis
Zhao-cheng Liu
Qiujie Lv
Ziduo Yang
Yifan Li
Chau Hung Lee
Leizhao Shen
MedIm
40
56
0
13 Aug 2022
A survey on attention mechanisms for medical applications: are we moving
  towards better algorithms?
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
Tiago Gonçalves
Isabel Rio-Torto
Luís F. Teixeira
J. S. Cardoso
OOD
MedIm
24
36
0
26 Apr 2022
EMT-NET: Efficient multitask network for computer-aided diagnosis of
  breast cancer
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer
Jiaqiao Shi
Aleksandar Vakanski
Min Xian
Jianrui Ding
Chunping Ning
23
6
0
13 Jan 2022
AC-CovidNet: Attention Guided Contrastive CNN for Recognition of
  Covid-19 in Chest X-Ray Images
AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images
Anirudh Ambati
S. Dubey
OOD
19
6
0
21 May 2021
Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume
  Delineation in Post-operative Breast Irradiation
Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation
M. Kazemimoghadam
W. Chi
A. Rahimi
Nathan Kim
P. Alluri
C. Nwachukwu
Wei Lu
X. Gu
14
8
0
06 May 2021
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image
  Segmentation
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation
Bryar Shareef
Aleksandar Vakanski
Min Xian
Phoebe E. Freer
6
47
0
27 Sep 2020
Stan: Small tumor-aware network for breast ultrasound image segmentation
Stan: Small tumor-aware network for breast ultrasound image segmentation
Bryar Shareef
Min Xian
Aleksandar Vakanski
6
62
0
03 Feb 2020
Breast Anatomy Enriched Tumor Saliency Estimation
Breast Anatomy Enriched Tumor Saliency Estimation
Fei Xu
Yingtao Zhang
Min Xian
Heng-Da Cheng
Boyu Zhang
Jianrui Ding
Chunping Ning
Ying Wang
9
1
0
23 Oct 2019
Learn To Pay Attention
Learn To Pay Attention
Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip H. S. Torr
53
437
0
06 Apr 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
280
10,613
0
19 Feb 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
1