Deep Convolutional Neural Network–based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs

Yongsik Sim, Myung Jin Chung, Elmar Kotter

Fine-Tuning U-Net for Ultrasound Image Segmentation: Different Layers, Different Outcomes

Mina Amiri, Rupert Brooks, Hassan Rivaz

Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images

Karl Thurnhofer‐Hemsi, Ezequiel López‐Rubio, Núria Roé-Vellvé et al.

Enhancing Medical Imaging Trust with an Efficient Deep Learning System for Forgery Detection

Ramakrishnan Raman, Vikram Kumar, Dimple Saini

Artificial intelligence in breast imaging

Elizabeth Le, Yanzhong Wang, Yuan Huang

A review of thyroid gland segmentation and thyroid nodule segmentation methods for medical ultrasound images

Junying Chen, Haijun You, Kai Li

Deep learning algorithms for medical image processing

Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation

Joseph Enguehard, Peter O’Halloran, Ali Gholipour et al.

Medical Image Processing using Deep Learning Techniques in Big Data Perspective

Bhaskar Adepu, Kiran Kumar Bejjanki

Deep Learning Approaches for Detecting COVID-19 From Chest X-Ray Images: A Survey

Hanan S. Alghamdi, Ghada Amoudi, Salma Elhag

Designing phononic crystal with anticipated band gap through a deep learning based data-driven method

Xiang Li, Shaowu Ning, Zhanli Liu

Deep Learning for Lesion Detection, Progression, and Prediction of Musculoskeletal Disease

Richard Kijowski, Fang Liu, Francesco Calivá