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A novel multi-view deep learning approach for BI-RADS and density
  assessment of mammograms

A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms

8 December 2021
Huyen T. X. Nguyen
Sam B. Tran
D. Nguyen
Hieu H. Pham
H. Nguyen
ArXivPDFHTML

Papers citing "A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms"

12 / 12 papers shown
Title
MamT$^4$: Multi-view Attention Networks for Mammography Cancer
  Classification
MamT4^44: Multi-view Attention Networks for Mammography Cancer Classification
Alisher Ibragimov
Sofya Senotrusova
Arsenii Litvinov
E. Ushakov
E. Karpulevich
Yury Markin
35
0
0
03 Nov 2024
Random Token Fusion for Multi-View Medical Diagnosis
Random Token Fusion for Multi-View Medical Diagnosis
Jingyu Guo
Christos Matsoukas
Fredrik Strand
Kevin Smith
MedIm
24
0
0
21 Oct 2024
Attention-Guided Erasing: A Novel Augmentation Method for Enhancing
  Downstream Breast Density Classification
Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification
A. B. Panambur
Hui Yu
Sheethal Bhat
Prathmesh Madhu
Siming Bayer
Andreas K. Maier
MedIm
28
1
0
08 Jan 2024
MAM-E: Mammographic synthetic image generation with diffusion models
MAM-E: Mammographic synthetic image generation with diffusion models
R. Montoya-del-Angel
Karla Sam-Millan
J. C. Vilanova
Robert Martí
MedIm
32
7
0
16 Nov 2023
Towards Robust Natural-Looking Mammography Lesion Synthesis on
  Ipsilateral Dual-Views Breast Cancer Analysis
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis
Thanh-Huy Nguyen
Q. Kha
Thai Ngoc Toan Truong
Ba Thinh Lam
Ba-Hung Ngo
Quang Vinh Dinh
N. Le
11
13
0
07 Sep 2023
Delving into Ipsilateral Mammogram Assessment under Multi-View Network
Delving into Ipsilateral Mammogram Assessment under Multi-View Network
Thai Ngoc Toan Truong
Thanh-Huy Nguyen
Ba Thinh Lam
Duy V.M. Nguyen
Hong Phuc Nguyen
20
10
0
05 Sep 2023
In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities
  Detection
In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities Detection
H. Nguyen
Thinh B. Lam
Quan D.D. Tran
M. T. Nguyen
Dat T. Chung
V. Q. Dinh
26
8
0
12 Jun 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
22
50
0
13 Apr 2023
Learning to diagnose common thorax diseases on chest radiographs from
  radiology reports in Vietnamese
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese
Thao T. B. Nguyen
T. M. Vo
Thang V. Nguyen
Hieu H. Pham
H. Nguyen
10
4
0
11 Sep 2022
An Accurate and Explainable Deep Learning System Improves Interobserver
  Agreement in the Interpretation of Chest Radiograph
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph
Hieu H. Pham
H. Q. Nguyen
H. T. Nguyen
T. Le
M. Dao
MedIm
25
14
0
06 Aug 2022
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep
  Descriptors of Adjacent Slices
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices
Dat Ngo
Thao T. B. Nguyen
Hieu T. Nguyen
D. Nguyen
H. Nguyen
Hieu H. Pham
OOD
28
2
0
05 Aug 2022
A Novel Transparency Strategy-based Data Augmentation Approach for
  BI-RADS Classification of Mammograms
A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms
Sam B. Tran
Huyen T. X. Nguyen
Chi Phan
Hieu H. Pham
H. Nguyen
14
3
0
20 Mar 2022
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