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A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases
  and Identifying Abnormalities

A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities

3 July 2018
Bo Zhou
Yuemeng Li
Jiangcong Wang
    MedIm
ArXivPDFHTML

Papers citing "A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities"

5 / 5 papers shown
Title
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease
  Classification from Chest X-ray Images
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images
Şaban Öztürk
M. Y. Turali
Tolga Çukur
MedIm
ViT
46
10
0
09 Oct 2023
Convolutional Nets for Diabetic Retinopathy Screening in Bangladeshi
  Patients
Convolutional Nets for Diabetic Retinopathy Screening in Bangladeshi Patients
Ayaan Haque
I. Sutradhar
Mahziba Rahman
M. Hasan
M. Sarker
22
2
0
31 Jul 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for
  Thoracic Disease Identification
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
Yi Zhou
Lei Huang
Tianfei Zhou
Ling Shao
28
8
0
26 Feb 2021
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural
  Network for the Automatic 3D Segmentation of Lung Lesions
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
Bo Zhou
Randolph Crawford
B. Dogdas
G. Goldmacher
Antong Chen
16
13
0
11 Nov 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
331
10,621
0
19 Feb 2017
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