Improving Classification Model Performance on Chest X-Rays through Lung
Segmentation

Improving Classification Model Performance on Chest X-Rays through Lung Segmentation

22 February 2022

Pengcheng Xi

Stéphane Tremblay

Alexander Wong

Papers citing "Improving Classification Model Performance on Chest X-Rays through Lung Segmentation"

5 / 5 papers shown

Title
Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patients Alexander Ziller Ayhan Can Erdur F. Jungmann Daniel Rueckert R. Braren Georgios Kaissis 16 0 0 08 Nov 2022
COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos Hilda Azimi Ashkan Ebadi Jessy Song Pengcheng Xi Alexander Wong 25 0 0 18 May 2022
Pulmonary Fissure Segmentation in CT Images Based on ODoS Filter and Shape Features Yuanyuan Peng Pengpeng Luan Hongbin Tu Xiong Li Ping Zhou 11 7 0 23 Jan 2022
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction Anuroop Sriram Matthew Muckley Koustuv Sinha Farah E. Shamout Joelle Pineau Krzysztof J. Geras Lea Azour Y. Aphinyanaphongs N. Yakubova W. Moore MedIm 128 64 0 13 Jan 2021
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images Han Liu Lei Wang Y. Nan F. Jin Qi Wang J. Pu 89 94 0 30 Oct 2018