MetaMed: Few-shot medical image classification using gradient-based meta-learning

How Deeply to Fine-Tune a Convolutional Neural Network: A Case Study Using a Histopathology Dataset

(2020) Ibrahem Kandel et al.   Applied Sciences-Basel

Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes

(2020) Chuanxing Geng et al.   PATTERN RECOGNITION

MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients

(2020) Mohammad Shorfuzzaman et al.   PATTERN RECOGNITION

CoMHisP: A Novel Feature Extractor for Histopathological Image Classification Based on Fuzzy SVM With Within-Class Relative Density

(2020) Abhinav Kumar et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Deep Learning in Robotics: Survey on Model Structures and Training Strategies

(2020) Artur Istvan Karoly et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

(2019) Veit Sandfort et al.   Scientific Reports

Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer

(2019) Abhinav Kumar et al.   INFORMATION SCIENCES

Zero-shot event detection via event-adaptive concept relevance mining

(2018) Zhihui Li et al.   PATTERN RECOGNITION

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

A Dataset for Breast Cancer Histopathological Image Classification

(2016) Fabio A. Spanhol et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING