Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI

13 December 2022

Papers citing "Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI"

6 / 6 papers shown

Title
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans Audrey Duran Gaspard Dussert O. Rouvière Tristan Jaouen Pierre-Marc Jodoin Carole Lartizien MedIm 66 71 0 23 Nov 2022
Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI Audrey Duran Gaspard Dussert Carole Lartizien 59 3 0 01 Jul 2022
Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images Oscar J. Pellicer-Valero José L. Jiménez V. González-Pérez J. C. Ramón-Borja I. García María Barrios Benito P. P. Gómez J. Rubio-Briones M. J. Rupérez J. D. Martín-Guerrero 27 75 0 23 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 173 1,607 0 18 Mar 2021
Superhuman Accuracy on the SNEMI3D Connectomics Challenge Kisuk Lee J. Zung Peter H. Li Viren Jain H. S. Seung 3DV 57 268 0 31 May 2017
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 666 10,779 0 19 Feb 2017