Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning.

Journal of Digital Imaging
Fangfang HanZhengrong Liang

Abstract

This study explores an automatic diagnosis method to predict unnecessary nodule biopsy from a small, unbalanced, and pathologically proven database. The automatic diagnosis method is based on a convolutional neural network (CNN) model. Because of the small and unbalanced samples, the presented method aims to improve the transfer learning capability via the VGG16 architecture and optimize the related transfer learning parameters. For comparison purpose, a traditional machine learning method is implemented, which extracts the texture features and classifies the features by support vector machine (SVM). The database includes 68 biopsied nodules, 16 are pathologically proven benign and the remaining 52 are malignant. To consider the volumetric data by the CNN model, each image slice from each nodule volume is selected randomly until all image slices of each nodule are utilized. The leave-one-out and 10-folder cross validations are applied to train and test the randomly selected 68 image slices (one image slice from one nodule) in each experiment, respectively. The averages over all the experimental outcomes are the final results. The experiments revealed that the features from both the medical and the natural images share the simil...Continue Reading

References

Oct 14, 2003·IEEE Transactions on Medical Imaging·William J KostisClaudia I Henschke
Aug 7, 2007·Lung Cancer : Journal of the International Association for the Study of Lung Cancer·Hajime SaitoJun-Ichi Ogawa
May 27, 2008·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Shingo IwanoTakeo Ishigaki
May 1, 2010·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·S L A LeeE J Hu
Oct 11, 2013·Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society·A TartarA Akan
Aug 15, 2014·Journal of Digital Imaging·Fangfang HanZhengrong Liang
Jan 9, 2016·CA: a Cancer Journal for Clinicians·Rebecca L SiegelAhmedin Jemal
May 31, 2016·The Lancet Oncology·Annalisa TramaUNKNOWN EUROCARE-5 Working Group
Nov 23, 2016·Scientific Reports·Prateek PrasannaAnant Madabhushi
Oct 19, 2017·Journal of X-ray Science and Technology·Huafeng WangZhengrong Liang
Oct 27, 2017·Journal of Healthcare Engineering·QingZeng SongXueChen Dou
Jan 9, 2019·CA: a Cancer Journal for Clinicians·Rebecca L SiegelAhmedin Jemal

❮ Previous
Next ❯

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.

Related Papers

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
Shu ZhangWei Hou
Information Processing in Medical Imaging : Proceedings of the ... Conference
Wei ShenJie Tian
International Journal of Computer Assisted Radiology and Surgery
Xinzhuo ZhaoWei Qian
© 2021 Meta ULC. All rights reserved