Improved Trainable Calibration Method for Neural Networks on Medical
Imaging Classification

Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification

9 September 2020

Papers citing "Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification"

10 / 10 papers shown

Title
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 21 2 0 16 Oct 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection Muhammad Akhtar Munir Muhammad Haris Khan Salman Khan Fahad Shahbaz Khan UQCV 38 15 0 25 Mar 2023
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration Lei Hsiung Yu Tang Pin-Yu Chen Tsung-Yi Ho 14 2 0 29 Nov 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration Yu Tang Pin-Yu Chen Tsung-Yi Ho 23 5 0 23 Sep 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 25 42 0 25 Mar 2022
Deep Probability Estimation Sheng Liu Aakash Kaku Weicheng Zhu M. Leibovich S. Mohan ... Haoxiang Huang L. Zanna N. Razavian Jonathan Niles-Weed C. Fernandez‐Granda UQCV OOD 28 14 0 21 Nov 2021
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification Zakaria Senousy M. Abdelsamea M. Gaber Moloud Abdar R. Acharya Abbas Khosravi S. Nahavandi 10 55 0 24 Aug 2021
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging G. Liang Connor Greenwell Yu Zhang Xiaoqin Wang Ramakanth Kavuluru Nathan Jacobs 42 21 0 06 Oct 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 23 5 0 30 Apr 2020