HPFG: semi-supervised medical image segmentation framework based on hybrid pseudo-label and feature-guiding

Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation

(2023) Krishna Chaitanya et al.   MEDICAL IMAGE ANALYSIS

Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation

(2022) Yu Hua et al.   International Journal of Neural Systems

A contrastive consistency semi-supervised left atrium segmentation model

(2022) Yashu Liu et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Discriminative error prediction network for semi-supervised colon gland segmentation

(2022) Zhenxi Zhang et al.   MEDICAL IMAGE ANALYSIS

Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning

(2022) Kaiping Wang et al.   MEDICAL IMAGE ANALYSIS

Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network

(2022) Tao Lei et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation

(2021) Michael Yeung et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?

(2018) Olivier Bernard et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

(2018) Takeru Miyato et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

(2011) Samuel G. Armato et al.   MEDICAL PHYSICS