Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN

Artificial intelligence for clinical oncology

(2021) Benjamin H. Kann et al.   CANCER CELL

Challenges and opportunities for artificial intelligence in oncological imaging

(2021) H.M.C. Cheung et al.   CLINICAL RADIOLOGY

Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT

(2021) Eliott Brion et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Artificial intelligence in oncology: From bench to clinic

(2021) Jamal Elkhader et al.   SEMINARS IN CANCER BIOLOGY

Deep learning model for automated kidney stone detection using coronal CT images

(2021) Kadir Yildirim et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains

(2021) Vasileios C. Pezoulas et al.   COMPUTERS IN BIOLOGY AND MEDICINE

CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR

(2021) Maram Mahmoud A. Monshi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Diverse data augmentation for learning image segmentation with cross-modality annotations

(2021) Xu Chen et al.   MEDICAL IMAGE ANALYSIS

Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review

(2021) Jun Bai et al.   MEDICAL IMAGE ANALYSIS

Early detection of pancreatic cancer

(2020) Stephen P Pereira et al.   Lancet Gastroenterology & Hepatology

Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques

(2020) Shunjiro Noguchi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

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

Tripartite-GAN: Synthesizing liver contrast-enhanced MRI to improve tumor detection

(2020) Jianfeng Zhao et al.   MEDICAL IMAGE ANALYSIS

Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team

(2020) T. Martín-Noguerol et al.   CLINICAL RADIOLOGY

Semi-supervised task-driven data augmentation for medical image segmentation

(2020) Krishna Chaitanya et al.   MEDICAL IMAGE ANALYSIS

Survey on deep learning for radiotherapy

(2018) Philippe Meyer et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A curated mammography data set for use in computer-aided detection and diagnosis research

(2017) Rebecca Sawyer Lee et al.   Scientific Data