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Diagnose like a Radiologist: Attention Guided Convolutional Neural
  Network for Thorax Disease Classification

Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification

30 January 2018
Q. Guan
Yaping Huang
Zhun Zhong
Zhedong Zheng
Liang Zheng
Yi Yang
ArXivPDFHTML

Papers citing "Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification"

28 / 28 papers shown
Title
More Than Positive and Negative: Communicating Fine Granularity in
  Medical Diagnosis
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis
Xiangyu Peng
Kai Wang
Jianfei Yang
Yingying Zhu
Yang You
MedIm
45
0
0
05 Aug 2024
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for
  Attribute-Based Medical Image Diagnosis
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis
Gangming Zhao
Quanlong Feng
Chaoqi Chen
Zhen Zhou
Yizhou Yu
34
31
0
19 Aug 2022
Do it Like the Doctor: How We Can Design a Model That Uses Domain
  Knowledge to Diagnose Pneumothorax
Do it Like the Doctor: How We Can Design a Model That Uses Domain Knowledge to Diagnose Pneumothorax
Glen Smith
Qiao Zhang
Christopher MacLellan
8
1
0
24 May 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on
  Medical Concepts
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts
Ying-Shuai Wanga
Yunxia Liua
Licong Dongc
Xuzhou Wua
Huabin Zhangb
Qiongyu Yed
Desheng Sunc
Xiaobo Zhoue
Kehong Yuan
27
0
0
19 Jan 2022
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray
  Abnormality Localization and Diagnosis
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis
Xi Ouyang
Srikrishna Karanam
Ziyan Wu
Terrence Chen
Jiayu Huo
X. Zhou
Qian Wang
Jie-Zhi Cheng
OOD
18
89
0
23 Dec 2021
Finding Strong Gravitational Lenses Through Self-Attention
Finding Strong Gravitational Lenses Through Self-Attention
H. Thuruthipilly
A. Zadrożny
Agnieszka Pollo
Marek Biesiada
21
6
0
18 Oct 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
574
0
27 May 2021
A Structure-Aware Relation Network for Thoracic Diseases Detection and
  Segmentation
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
Jie Lian
Jingyun Liu
Shu Zhen Zhang
Kai Gao
Xiaoqing Liu
Dingwen Zhang
Yizhou Yu
35
40
0
21 Apr 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data
Multi-label Ranking: Mining Multi-label and Label Ranking Data
L. Dery
27
7
0
03 Jan 2021
Chest x-ray automated triage: a semiologic approach designed for
  clinical implementation, exploiting different types of labels through a
  combination of four Deep Learning architectures
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures
Candelaria Mosquera
F. N. Diaz
F. Binder
J. Rabellino
S. Benítez
A. Beresñak
A. Seehaus
Gabriel Ducrey
J. Ocantos
Daniela Luna
24
13
0
23 Dec 2020
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic
  Literature Review
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review
Tahira Iqbal
A. Shaukat
M. Akram
Zartasha Mustansar
27
10
0
21 Dec 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
A. Nandi
SSeg
OOD
33
544
0
28 Sep 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition
Bias Field Poses a Threat to DNN-based X-Ray Recognition
Binyu Tian
Qing Guo
Felix Juefei Xu
W. L. Chan
Yupeng Cheng
Xiaohong Li
Xiaofei Xie
Shengchao Qin
AAML
AI4CE
34
33
0
19 Sep 2020
Extracting and Leveraging Nodule Features with Lung Inpainting for Local
  Feature Augmentation
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
S. Guendel
A. Setio
Sasa Grbic
Andreas Maier
Dorin Comaniciu
14
3
0
05 Aug 2020
Attention-guided Quality Assessment for Automated Cryo-EM Grid Screening
Attention-guided Quality Assessment for Automated Cryo-EM Grid Screening
Hong Chao Xu
D. Timm
Shireen Y. Elhabian
11
1
0
10 Jul 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image
  Assessment
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
Florin-Cristian Ghesu
Bogdan Georgescu
Awais Mansoor
Y. Yoo
Eli Gibson
...
Ramandeep Singh
S. Digumarthy
M. Kalra
Sasa Grbic
Dorin Comaniciu
UQCV
EDL
23
55
0
08 Jul 2020
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided
  Framework: A Large-scale Study
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study
Luyao Shi
Deepta Rajan
Shafiq Abedin
Srikar Yellapragada
David Beymer
E. Dehghan
17
18
0
29 May 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease
  Dependencies and Uncertainty Labels
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels
Hieu H. Pham
T. Le
Dat Ngo
Dat Q. Tran
H. Nguyen
31
163
0
25 May 2020
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
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale
  Chest Computed Tomography Volumes
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
R. Draelos
D. Dov
Maciej Mazurowski
J. Lo
Ricardo Henao
Geoffrey D. Rubin
Lawrence Carin
17
68
0
12 Feb 2020
Localization of Critical Findings in Chest X-Ray without Local
  Annotations Using Multi-Instance Learning
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning
Evan Schwab
A. Gooßen
Hrishikesh Deshpande
A. Saalbach
4
19
0
23 Jan 2020
PadChest: A large chest x-ray image dataset with multi-label annotated
  reports
PadChest: A large chest x-ray image dataset with multi-label annotated reports
A. Bustos
A. Pertusa
J. M. Salinas
M. Iglesia-Vayá
LM&MA
17
603
0
22 Jan 2019
Attention-Based Deep Neural Networks for Detection of Cancerous and
  Precancerous Esophagus Tissue on Histopathological Slides
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides
Naofumi Tomita
B. Abdollahi
Jason W. Wei
Bing Ren
A. Suriawinata
Saeed Hassanpour
MedIm
26
166
0
20 Nov 2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease
  Classification in Chest X-ray Images
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images
Han Liu
Lei Wang
Y. Nan
F. Jin
Qi Wang
J. Pu
104
94
0
30 Oct 2018
Weakly Supervised Deep Learning for Thoracic Disease Classification and
  Localization on Chest X-rays
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays
Chaochao Yan
Jiawen Yao
Ruoyu Li
Zheng Xu
Junzhou Huang
22
118
0
16 Jul 2018
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
Jo Schlemper
Ozan Oktay
Liang Chen
Jacqueline Matthew
C. Knight
Bernhard Kainz
Ben Glocker
Daniel Rueckert
19
92
0
15 Apr 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple
  Resolutions
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
L. Yao
Jordan Prosky
Eric Poblenz
Ben Covington
Kevin Lyman
26
120
0
21 Mar 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
334
10,621
0
19 Feb 2017
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