State of the Art in Neural Networks and Their Applications

1. Computer Aided Detection of Abnormality in Mammography using Deep Object Detectors<br>2. Detection of retinal abnormalities in fundus image using CNN Deep Learning Networks<br>3. A survey of Deep Learning Based Methods for Cryo-electron Tomography Data Analysis<br>4. Detection, Segmentation and Numbering of Teeth in Dental Panoramic Images with Mask RCNN<br>5. Accurate Identification of Renal Transplant Rejection: Convolutional Neural Networks and Diffusion MRI<br>6. Applications of the ESPNet Architecture in Medical Imaging<br>7. Achievements of Neural Network in Skin Lesions Classification<br>8. A Computer-aided-diagnosis System for Breast Cancer Molecular Subtypes Prediction in mammographic images<br>9. Computer-Aided Diagnosis of Renal Masses<br>10. Early Identification of Acute Rejection for Renal Allografts: A Machine Learning Approach<br>11. Deep Learning for Computer-Aided Diagnosis in Ophthalmology: A Review<br>12. Deep Learning for Ophthalmology using Optical Coherence Tomography<br>13. Generative Adversarial Networks in Medical Imaging<br>14. Deep Learning from Small Labeled Datasets Applied to Medical Image Analysis