OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification

11 July 2023

Papers citing "OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification"

6 / 6 papers shown

Title
Active Learning for Open-set Annotation Kun-Peng Ning Xun Zhao Yu Li Sheng-Jun Huang 66 37 0 18 Jan 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 750 6,139 0 29 Apr 2021
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 154 581 0 28 Dec 2019
Bayesian Generative Active Deep Learning Toan M. Tran Thanh-Toan Do Ian Reid G. Carneiro 101 137 0 26 Apr 2019
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran M. Reyes GAN MedIm 108 176 0 14 Jun 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis Veronika Cheplygina Marleen de Bruijne J. Pluim 86 752 0 17 Apr 2018