Deep learning applications in medical image analysis
Deep learning is slowly taking over the medical image analysis field with advancements in
imaging tools, and growing demand for fast, accurate, and automated image analysis. In this …
imaging tools, and growing demand for fast, accurate, and automated image analysis. In this …
Breast Cancer Detection in Mammography using Faster Region Convolutional Neural Networks and Group Convolution
Breast cancer is a prevalent and potentially life-threatening medical condition characterized
by uncontrolled cell proliferation within breast tissue. This global health concern …
by uncontrolled cell proliferation within breast tissue. This global health concern …
[PDF][PDF] New french diagnostic reference levels: Let's take stock of our daily practices!
Radiation protection aims to prevent or reduce health risks related to ionizing radiation,
based on three main principles: justification, optimization, and limitation of radiation doses …
based on three main principles: justification, optimization, and limitation of radiation doses …
Mejora para la imagen de Rayos X mediante el uso de Deep Learning
P Moreno Berdón - 2021 - openaccess.uoc.edu
La imagen de rayos X es una herramienta clave para el diagnóstico. Sin embargo, a pesar
de su valor clínico, ofrece un contraste en tejido blando pobre así como una alta dosis de …
de su valor clínico, ofrece un contraste en tejido blando pobre así como una alta dosis de …
Deep Learning in Positron Emission Tomography Image Reconstruction
WJ Whiteley - 2020 - trace.tennessee.edu
The aim of this research is towards creating superior algorithms for Positron Emission
Tomography (PET) image reconstruction through the application of deep learning methods …
Tomography (PET) image reconstruction through the application of deep learning methods …