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ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly
  Segmentation

ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation

5 March 2021
Raunak Dey
Yi Hong
ArXivPDFHTML

Papers citing "ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation"

14 / 14 papers shown
Title
Volumetric Medical Image Segmentation via Scribble Annotations and Shape
  Priors
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors
Qiuhui Chen
Haiying Lyu
Xinyue Hu
Yong Lu
Yi Hong
26
0
0
12 Oct 2023
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation
  on MRI Brain Tumor
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor
Yu-Jen Chen
Xinrong Hu
Yi Shi
Tsung-Yi Ho
49
7
0
26 Jun 2023
BMAD: Benchmarks for Medical Anomaly Detection
BMAD: Benchmarks for Medical Anomaly Detection
Jinan Bao
Hanshi Sun
Hanqiu Deng
Yinsheng He
Zhaoxiang Zhang
Xingyu Li
MedIm
28
21
0
20 Jun 2023
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor
  Segmentation
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor Segmentation
Yu-Jen Chen
Yi Shi
Tsung-Yi Ho
36
0
0
08 Jun 2023
Conditional Diffusion Models for Weakly Supervised Medical Image
  Segmentation
Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
Xinrong Hu
Yu-Jen Chen
Tsung-Yi Ho
Yiyu Shi
DiffM
MedIm
35
15
0
06 Jun 2023
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
M. Astaraki
F. Benetti
Yousef Yeganeh
I. Toma-Dasu
Orjan Smedby
Chunliang Wang
Nassir Navab
T. Wendler
20
6
0
21 May 2023
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Xinru Zhang
N. Ou
Chenghao Liu
Z. Zhuo
Yao Liu
Chuyang Ye
VLM
27
2
0
04 Apr 2023
Distributional Gaussian Processes Layers for Out-of-Distribution
  Detection
Distributional Gaussian Processes Layers for Out-of-Distribution Detection
S. Popescu
D. Sharp
James H. Cole
Konstantinos Kamnitsas
Ben Glocker
OOD
29
0
0
27 Jun 2022
3D unsupervised anomaly detection and localization through virtual
  multi-view projection and reconstruction: Clinical validation on low-dose
  chest computed tomography
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography
Kyungsu Kim
S. Oh
J. Lee
M. Chung
19
3
0
18 Jun 2022
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via
  Scribble Annotations
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations
Qiuhui Chen
Yi Hong
43
24
0
13 May 2022
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
Haote Xu
Yunlong Zhang
Liyan Sun
Chenxin Li
Yue Huang
Xinghao Ding
MedIm
33
11
0
17 Apr 2022
A multi-stream convolutional neural network for classification of
  progressive MCI in Alzheimer's disease using structural MRI images
A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer's disease using structural MRI images
Mona Ashtari-Majlan
Abbas Seifi
Mohammad Mahdi Dehshibi
21
46
0
03 Mar 2022
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an
  Adversarial-based Selective Cutting Network
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network
Raunak Dey
Wenbo Sun
Haibo Xu
Yi Hong
15
0
0
16 Dec 2021
Self-supervised Tumor Segmentation through Layer Decomposition
Self-supervised Tumor Segmentation through Layer Decomposition
Xiaoman Zhang
Weidi Xie
Chaoqin Huang
Yanfeng Wang
Ya Zhang
Xin Chen
Qi Tian
29
6
0
07 Sep 2021
1