Chest X-ray image classification using deep neural networks

• Grant number: 19/20875-8
• Support Opportunities: Scholarships in Brazil - Master
• Start date: January 01, 2020
• End date: February 28, 2021
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Zanoni Dias
• Grantee: Vinicius Teixeira de Melo
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Chest X-ray is one of the most common radiology exams, being used, for example, to diagnose and monitor the treatment of various pulmonary conditions, such as pneumonia, emphysema and cancer. Automated identification and interpretation of this type of exam, at the same level or better than radiologists, could enable advances in a variety of medical environments, from improved outcome speed to global health initiatives. In this project, we propose a method for chest X-ray images classification based on Deep Neural Network architectures. To validate the developed models, the experiments will be performed using the ChestX-ray14 and CheXpert datasets. The methodology used in this project is based on extraction of activation maps of the neural network to crop the images considering only the areas of interest, discarding irrelevant information for their classification. (AU)

Scientific publications

(8)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DE OLIVEIRA, GABRIEL BIANCHIN; PEDRINI, HELIO; DIAS, ZANONI; IEEE. Fusion of BLAST and Ensemble of Classifiers for Protein Secondary Structure Prediction. 2020 33RD SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2020), v. N/A, p. 8-pg., 2020-01-01. (17/12646-3, 19/20875-8, 15/11937-9, 17/16246-0)

DE OLIVEIRA, GABRIEL BIANCHIN; PEDRINI, HELIO; DIAS, ZANONI; XAVIER-JUNIOR, JC; RIOS, RA. Protein Molecular Function Annotation Based on Transformer Embeddings. INTELLIGENT SYSTEMS, PT II, v. 13654, p. 11-pg., 2022-01-01. (17/12646-3, 19/20875-8, 15/11937-9, 17/16246-0)

TEIXEIRA, VINICIUS; BRAZ, LEODECIO; PEDRINI, HELIO; DIAS, ZANONI; PAIVA, AC; CONCI, A; BRAZ, G; ALMEIDA, JDS; FERNANDES, LAF. DuaLAnet: Dual Lesion Attention Network for Thoracic Disease Classification in Chest X-Rays. PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), 27TH EDITION, v. N/A, p. 6-pg., 2020-01-01. (17/16246-0, 19/20875-8, 17/12646-3, 15/11937-9)

DE OLIVEIRA, GABRIEL BIANCHIN; PEDRINI, HELIO; DIAS, ZANONI. nsemble of Template-Free and Template-Based Classifiers for Protein Secondary Structure Predictio. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, v. 22, n. 21, NOV 2021. (19/20875-8, 17/12646-3, 17/16246-0)

DE OLIVEIRA, GABRIEL BIANCHIN; PEDRINI, HELIO; DIAS, ZANONI; PAIVA, AC; CONCI, A; BRAZ, G; ALMEIDA, JDS; FERNANDES, LAF. Ensemble of Bidirectional Recurrent Networks and Random Forests for Protein Secondary Structure Prediction. PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), 27TH EDITION, v. N/A, p. 6-pg., 2020-01-01. (17/16246-0, 19/20875-8, 17/12646-3, 15/11937-9)

OLIVEIRA, GABRIEL B.; PEDRINI, HELIO; DIAS, ZANONI. TEMPROT: protein function annotation using transformers embeddings and homology search. BMC Bioinformatics, v. 24, n. 1, p. 16-pg., 2023-06-08. (17/16246-0, 19/20875-8, 17/12646-3, 15/11937-9)

BRAZ, LEODECIO; TEIXEIRA, VINICIUS; PEDRINI, HELIO; DIAS, ZANONI; SETUBAL, JC; SILVA, WM. ImTeNet: Image-Text Classification Network for Abnormality Detection and Automatic Reporting on Musculoskeletal Radiographs. ADVANCES IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, BSB 2020, v. 12558, p. 12-pg., 2020-01-01. (19/20875-8, 17/12646-3, 15/11937-9, 17/16246-0)

DE MELLO, FELIPE LOPES; DE OLIVEIRA, GABRIEL BIANCHIN; PEDRINI, HELIO; DIAS, ZANONI; RUTKOWSKI, L; SCHERER, R; KORYTKOWSKI, M; PEDRYCZ, W; TADEUSIEWICZ, R; ZURADA, JM. Prediction of Protein Molecular Functions Using Transformers. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2022, PT II, v. 13589, p. 9-pg., 2023-01-01. (17/16246-0, 19/20875-8, 17/12646-3, 15/11937-9)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

MELO, Vinicius Teixeira de. Multi-label classification of chest x-rays using deep learning. 2021. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Instituto de Computação Campinas, SP.