Building medical image classifiers with very limited data using segmentation networks

15 August 2018

Papers citing "Building medical image classifiers with very limited data using segmentation networks"

7 / 7 papers shown

Title
Revisiting Hidden Representations in Transfer Learning for Medical Imaging Dovile Juodelyte Amelia Jiménez-Sánchez V. Cheplygina OOD 19 1 0 16 Feb 2023
Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection Gautam Rajendrakumar Gare A. Schoenling Vipin Philip H. V. Tran Bennett P deBoisblanc R. Rodriguez J. Galeotti 29 13 0 25 Jan 2022
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features A. Saha F. I. Tushar Khrystyna Faryna Vincent M. DÁnniballe Rui Hou Maciej Mazurowski Geoffrey D. Rubin J. Lo 17 7 0 31 Oct 2020
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification M. Al-Shabi Kelvin Shak Maxine Tan 19 53 0 29 Oct 2020
Learning to segment images with classification labels Ozan Ciga Anne L. Martel VLM 24 25 0 28 Dec 2019
Cats or CAT scans: transfer learning from natural or medical image source datasets? V. Cheplygina OOD MedIm 25 58 0 12 Oct 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