Light mixed‐supervised segmentation for 3D medical image data

Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound

(2022) Hongxu Yang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Segmentation with mixed supervision: Confidence maximization helps knowledge distillation

(2022) Bingyuan Liu et al.   MEDICAL IMAGE ANALYSIS

Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning

(2021) Hongxu Yang et al.   IEEE Journal of Biomedical and Health Informatics

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation

(2020) Nima Tajbakhsh et al.   MEDICAL IMAGE ANALYSIS

Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos

(2019) Chinedu Innocent Nwoye et al.   International Journal of Computer Assisted Radiology and Surgery

An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI

(2019) Jonathan Shapey et al.   JOURNAL OF NEUROSURGERY

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

(2017) Martin Rajchl et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

(2013) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS