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Usable Region Estimate for Assessing Practical Usability of Medical
  Image Segmentation Models

Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models

1 July 2022
Yizhe Zhang
Suraj Mishra
Peixian Liang
Hao Zheng
Danny Chen
ArXivPDFHTML

Papers citing "Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models"

5 / 5 papers shown
Title
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing
  the Segment Anything Model
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model
Yizhe Zhang
Shuo Wang
Tao Zhou
Qingquan Dou
Danny Chen
38
1
0
15 Dec 2023
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy
  Medical Image Classification
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification
Yizhe Zhang
Shuo Wang
Yejia Zhang
Da Chen
MedIm
33
4
0
09 Sep 2023
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation
  Models
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation Models
Qi Ye
Li Guo
22
0
0
01 Jun 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,695
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
1