COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention Network

Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network

(2021) Lei Wang et al.   PATTERN RECOGNITION

Learning efficient, explainable and discriminative representations for pulmonary nodules classification

(2021) Hanliang Jiang et al.   PATTERN RECOGNITION

A Novel Coronavirus from Patients with Pneumonia in China, 2019

(2020) Na Zhu et al.   NEW ENGLAND JOURNAL OF MEDICINE

Automated Invasive Ductal Carcinoma Detection Based Using Deep Transfer Learning with Whole-Slide Images

(2020) Yusuf Celik et al.   PATTERN RECOGNITION LETTERS

Automated detection of COVID-19 cases using deep neural networks with X-ray images

(2020) Tulin Ozturk et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

(2020) Asmaa Abbas et al.   APPLIED INTELLIGENCE

An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks

(2019) Johnatan Carvalho Souza et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data

(2018) Xiaohui Yuan et al.   PATTERN RECOGNITION

Atlas-based reconstruction of high performance brain MR data

(2018) Mingli Zhang et al.   PATTERN RECOGNITION

Deep learning for image-based cancer detection and diagnosis − A survey

(2018) Zilong Hu et al.   PATTERN RECOGNITION

Deep learning ensembles for melanoma recognition in dermoscopy images

(2017) N. C. F. Codella et al.   IBM JOURNAL OF RESEARCH AND DEVELOPMENT

Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network

(2017) Jen Hong Tan et al.   INFORMATION SCIENCES

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE