COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework

Label-Free Segmentation of COVID-19 Lesions in Lung CT

(2021) Qingsong Yao et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China

(2020) Shuchang Zhou et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

The Clinical and Chest CT Features Associated with Severe and Critical COVID-19 Pneumonia

(2020) Kunhua Li et al.   INVESTIGATIVE RADIOLOGY

The Novel Coronavirus Originating in Wuhan, China

(2020) Alexandra L. Phelan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Emerging understandings of 2019-nCoV

(2020) The Lancet   LANCET

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

(2020) Guotai Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

(2020) Longxi Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

(2020) Deng-Ping Fan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep convolutional neural networks for automatic segmentation of thoracic organs‐at‐risk in radiation oncology – use of non‐domain transfer learning

(2020) Charles C. Vu et al.   Journal of Applied Clinical Medical Physics

U2-Net: Going deeper with nested U-structure for salient object detection

(2020) Xuebin Qin et al.   PATTERN RECOGNITION

Automatic COVID ‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism

(2020) Tongxue Zhou et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Impact of COVID-19 pandemic on mental health in the general population: A systematic review

(2020) Jiaqi Xiong et al.   JOURNAL OF AFFECTIVE DISORDERS

Towards Data‐Efficient Learning: A Benchmark for COVID‐19 CT Lung and Infection Segmentation

(2020) Jun Ma et al.   MEDICAL PHYSICS

A Novel Deep Learning based Framework for the Detection and Classification of Breast Cancer Using Transfer Learning

(2019) SanaUllah Khan et al.   PATTERN RECOGNITION LETTERS

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

(2019) Veronika Cheplygina et al.   MEDICAL IMAGE ANALYSIS

A transfer learning method with deep residual network for pediatric pneumonia diagnosis

(2019) Gaobo Liang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

(2019) Zaiwang Gu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network

(2019) Fangzhou Liao et al.   IEEE Transactions on Neural Networks and Learning Systems

Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion

(2018) Michal Byra et al.   MEDICAL PHYSICS

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

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

(2011) Samuel G. Armato et al.   MEDICAL PHYSICS

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

(2009) T. Heimann et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING