MedAL: Deep Active Learning Sampling Method for Medical Image Analysis

25 September 2018

Papers citing "MedAL: Deep Active Learning Sampling Method for Medical Image Analysis"

6 / 6 papers shown

Title
Parsimonious Dataset Construction for Laparoscopic Cholecystectomy Structure Segmentation Yuning Zhou H. Badgery Matthew Read James Bailey Catherine E. Davey 35 0 0 17 Apr 2025
Interactive Image Selection and Training for Brain Tumor Segmentation Network Matheus A. Cerqueira Flávia Sprenger Bernardo C. A. Teixeira Alexandre X. Falcão 46 3 0 05 Jun 2024
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities Ganping Li Yoshito Otake Mazen Soufi M. Taniguchi Masahide Yagi N. Ichihashi Keisuke Uemura Masaki Takao Nobuhiko Sugano Yoshinobu Sato 29 3 0 26 Jul 2023
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions Jun Wang Shaoguo Wen Kaixing Chen Jianghua Yu Xiaoxia Zhou Peng Gao Changsheng Li Guotong Xie ISeg 22 18 0 09 Dec 2020
SoQal: Selective Oracle Questioning in Active Learning Dani Kiyasseh T. Zhu David A. Clifton 27 0 0 22 Apr 2020
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 331 10,621 0 19 Feb 2017