Comparing Different Deep Learning Architectures for Classification of
Chest Radiographs

Comparing Different Deep Learning Architectures for Classification of Chest Radiographs

20 February 2020

Keno K. Bressem

Lisa Christine Adams

Papers citing "Comparing Different Deep Learning Architectures for Classification of Chest Radiographs"

11 / 11 papers shown

Title
Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification Fatema Jannat Sina Gholami Jennifer I. Lim Theodore Leng Minhaj Nur Alam Hamed Tabkhi 33 0 0 17 Sep 2024
The impact of model size on catastrophic forgetting in Online Continual Learning Eunhae Lee CLL 41 0 0 28 Jun 2024
Does progress on ImageNet transfer to real-world datasets? Alex Fang Simon Kornblith Ludwig Schmidt VLM 29 34 0 11 Jan 2023
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 25 18 0 26 Jul 2022
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks Dominik Muller Iñaki Soto Rey Frank Kramer 32 56 0 27 Jan 2022
Empirical Analysis of Image Caption Generation using Deep Learning Aditya R. Bhattacharya Eshwar Shamanna Girishekar Padmakar Anil Deshpande 21 1 0 14 May 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 26 59 0 20 Mar 2021
Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images Sampa Misra Seungwan Jeon R. Managuli Seiyon Lee Gyuwon Kim Seungchul Lee R. Barr Chulhong Kim 6 10 0 17 Feb 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 73 101 0 18 Jan 2021
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures Candelaria Mosquera F. N. Diaz F. Binder J. Rabellino S. Benítez A. Beresñak A. Seehaus Gabriel Ducrey J. Ocantos Daniela Luna 24 13 0 23 Dec 2020
COVID-19 Classification of X-ray Images Using Deep Neural Networks Elisha Goldstein Daphna Keidar Daniel Yaron Y. Shachar Ayelet Blass ... N. Bogot A. Grubstein N. Shabshin Yishai M. Elyada Yonina C. Eldar 23 66 0 03 Oct 2020