DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images

18 November 2017

Papers citing "DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images"

7 / 7 papers shown

Title
MONAI: An open-source framework for deep learning in healthcare M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma E. Kerfoot ... Klaus H. Maier-Hein S. Aylward Prerna Dogra Sebastien Ourselin Andrew Feng 60 482 0 04 Nov 2022
spectrai: A deep learning framework for spectral data C. Horgan Mads S. Bergholt VLM 21 4 0 17 Aug 2021
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization Qi Duan Guotai Wang Rui Wang Chaohao Fu Xinjun Li ... Xinglong Liu Qing Xia Zhiqiang Hu Ning Huang Shaoting Zhang 40 18 0 03 Apr 2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 144 427 0 09 Mar 2020
Interactive segmentation of medical images through fully convolutional neural networks Tomas Sakinis Fausto Milletari H. Roth P. Korfiatis Petro M. Kostandy Kenneth A. Philbrick Z. Akkus Ziyue Xu Daguang Xu Bradley J. Erickson 11 81 0 19 Mar 2019
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging Qingjie Meng Matthew Sinclair V. Zimmer Benjamin Hou Martin Rajchl ... J. Housden Jacqueline Matthew Daniel Rueckert Julia A. Schnabel Bernhard Kainz 18 1 0 20 Nov 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 334 10,621 0 19 Feb 2017