Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation

29 January 2024

Papers citing "Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation"

6 / 6 papers shown

Title
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation Daniel Syomichev Padmini Gopinath Guang-Lin Wei Eric Chang Ian Gordon Amanuel Seifu Rahul Pemmaraju Neehar Peri James M. Purtilo 41 0 0 12 Mar 2025
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging Ji-Hun Oh Kianoush Falahkheirkhah Rohit Bhargava 57 0 0 27 Feb 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 91 1 0 25 Nov 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation Pengyun Wang Yadi Cao Chris Russell Yanxin Shen Junyu Luo Ming Zhang Siyu Heng Zhiyuan Ning 46 1 0 13 Sep 2024
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation Yu Zhu Qiang Yang Li Xu VLM 31 2 0 02 May 2024
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 334 10,621 0 19 Feb 2017