Generalized post-training quantization for medical image segmentation foundation model
- 3 September 2026
- journal article
- Published by Elsevier in Medical Image Analysis
- Vol. 115, 104287
Abstract
No abstract availableKeywords
Funding Information
- Sichuan Provincial Science and Technology Support Program (2024ZDZX0001)
- Fundamental Research Funds for the Central Universities (2682025GH016)
- University at Albany
- Google Research
This publication has 42 references indexed in Scilit:
- On the challenges and perspectives of foundation models for medical image analysisMedical Image Analysis, 2023
- Recurrence of optimum for training weight and activation quantized networksApplied and Computational Harmonic Analysis, 2022
- Stochastic Markov gradient descent and training low-bit neural networksSampling Theory, Signal Processing, and Data Analysis, 2021
- Deep learning based automated detection of intraretinal cystoid fluidInternational Journal of Imaging Systems and Technology, 2021
- Learning quantized neural nets by coarse gradient method for nonlinear classificationResearch in the Mathematical Sciences, 2021
- Models GenesisMedical Image Analysis, 2021
- Differentiable Joint Pruning and Quantization for Hardware Efficiency2020
- Deep semantic segmentation of natural and medical images: a reviewArtificial Intelligence Review, 2020
- Blended coarse gradient descent for full quantization of deep neural networksResearch in the Mathematical Sciences, 2019
- XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks2016