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Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and
  Infection Segmentation

Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation

27 April 2020
Jun Ma
Yixin Wang
Xingle An
Cheng Ge
Ziqi Yu
Jianan Chen
Qiongjie Zhu
Guoqiang Dong
Jian He
Zhiqiang He
Yuntao Zhu
Ziwei Nie
Xiaoping Yang
ArXivPDFHTML

Papers citing "Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation"

18 / 18 papers shown
Title
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis
Yifan Jiang
Yannick Lemaréchal
Josée Bafaro
Jessica Abi-Rjeile
Philippe Joubert
Philippe Després
Venkata Manem
MedIm
DiffM
44
1
0
24 Feb 2025
DB-SAM: Delving into High Quality Universal Medical Image Segmentation
DB-SAM: Delving into High Quality Universal Medical Image Segmentation
Chao Qin
Jiale Cao
H. Fu
F. Khan
Rao Muhammad Anwer
MedIm
33
5
0
05 Oct 2024
SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with
  the Segment Anything Model
SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model
Trevor J. Chan
Aarush Sahni
Jie Li
Alisha Luthra
Amy Fang
Alison Pouch
C. Rajapakse
MedIm
VLM
27
1
0
10 May 2024
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
Ziheng Zhao
Yao Zhang
Chaoyi Wu
Xiaoman Zhang
Ya-Qin Zhang
Yanfeng Wang
Weidi Xie
VLM
MedIm
32
37
0
28 Dec 2023
A Self Supervised StyleGAN for Image Annotation and Classification with
  Extremely Limited Labels
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
Dana Cohen Hochberg
H. Greenspan
Raja Giryes
27
11
0
26 Dec 2023
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary
  Confusion
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion
Xin You
Ming Ding
Minghui Zhang
Hanxiao Zhang
Yi Yu
Jie-jin Yang
Yun Gu
42
1
0
13 Dec 2023
D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture
  for Binary and Multi-classes Covid-19 Infection Segmentation
D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation
F. Bougourzi
C. Distante
Fadi Dornaika
A. Taleb-Ahmed
MedIm
ViT
17
5
0
27 Mar 2023
A residual dense vision transformer for medical image super-resolution
  with segmentation-based perceptual loss fine-tuning
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning
Jin Zhu
Guang Yang
Pietro Lio'
ViT
MedIm
32
5
0
22 Feb 2023
Collective Intelligent Strategy for Improved Segmentation of COVID-19
  from CT
Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT
S. Das
Sushmita Mitra
B. Uma Shankar
12
3
0
23 Dec 2022
Deep Learning in Single-Cell Analysis
Deep Learning in Single-Cell Analysis
Dylan Molho
Jiayuan Ding
Zhaoheng Li
Haifang Wen
Wenzhuo Tang
...
P. Danaher
Robert Yang
Y. Lei
Yuying Xie
Jiliang Tang
25
22
0
22 Oct 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
23
151
0
28 Jul 2022
Ensemble CNN models for Covid-19 Recognition and Severity Perdition From
  3D CT-scan
Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan
F. Bougourzi
C. Distante
Fadi Dornaika
A. Taleb-Ahmed
3DPC
21
3
0
29 Jun 2022
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised
  Medical Image Segmentation
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Rushi Jiao
Qingcheng Liao
Dongyang Li
Jicong Zhang
20
56
0
05 Dec 2021
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review
Rubaiyat Hossain Mondal
Subrato Bharati
Prajoy Podder
19
56
0
28 Oct 2021
Quantification of pulmonary involvement in COVID-19 pneumonia by means
  of a cascade oftwo U-nets: training and assessment on multipledatasets using
  different annotation criteria
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria
Francesca Lizzi
Abramo Agosti
F. Brero
R. F. Cabini
M. Fantacci
...
S. Piffer
I. Postuma
L. Rinaldi
C. Talamonti
A. Retico
26
17
0
06 May 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy
  Families All Alike?
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
Jun Ma
64
25
0
01 Jan 2021
Exploiting Shared Knowledge from Non-COVID Lesions for
  Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Yichi Zhang
Qingcheng Liao
Lin Yuan
He Zhu
Jiezhen Xing
Jicong Zhang
44
23
0
31 Dec 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
D. Shen
Yuxin Shi
99
574
0
10 Mar 2020
1