4.7 Article

Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation

Related references

Note: Only part of the references are listed.
Review Computer Science, Artificial Intelligence

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

Nima Tajbakhsh et al.

MEDICAL IMAGE ANALYSIS (2020)

Article Computer Science, Artificial Intelligence

On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

Mauricio Reyes et al.

RADIOLOGY-ARTIFICIAL INTELLIGENCE (2020)

Article Computer Science, Artificial Intelligence

Hypothesis transfer learning based on structural model similarity

Kelwin Fernandes et al.

NEURAL COMPUTING & APPLICATIONS (2019)

Article Computer Science, Artificial Intelligence

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Veronika Cheplygina et al.

MEDICAL IMAGE ANALYSIS (2019)

Article Computer Science, Artificial Intelligence

Informative sample generation using class aware generative adversarial networks for classification of chest Xrays

Behzad Bozorgtabar et al.

COMPUTER VISION AND IMAGE UNDERSTANDING (2019)

Article Computer Science, Interdisciplinary Applications

Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning

Jamshid Sourati et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)

Review Computer Science, Artificial Intelligence

Generative adversarial network in medical imaging: A review

Xin Yi et al.

MEDICAL IMAGE ANALYSIS (2019)

Proceedings Paper Computer Science, Theory & Methods

Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy

Firat Ozdemir et al.

DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT, DLMIA 2018 (2018)

Proceedings Paper Computer Science, Theory & Methods

CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation

Dakai Jin et al.

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT II (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation

Chichen Fu et al.

PROCEEDINGS 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2018)

Article Engineering, Electrical & Electronic

Cost-Effective Active Learning for Deep Image Classification

Keze Wang et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2017)

Article Computer Science, Artificial Intelligence

Gland segmentation in colon histology images: The glas challenge contest

Korsuk Sirinukunwattana et al.

MEDICAL IMAGE ANALYSIS (2017)

Article Computer Science, Artificial Intelligence

Explaining nonlinear classification decisions with deep Taylor decomposition

Gregoire Montavon et al.

PATTERN RECOGNITION (2017)

Article Oncology

Computational Radiomics System to Decode the Radiographic Phenotype

Joost J. M. van Griethuysen et al.

CANCER RESEARCH (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Multi-task Self-Supervised Visual Learning

Carl Doersch et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

Article Computer Science, Interdisciplinary Applications

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Nima Tajbakhsh et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Article Computer Science, Artificial Intelligence

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Alexey Dosovitskiy et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)