Medical image classification using a combination of features from convolutional neural networks-Reference-Cited by-同舟云学术

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Medical image classification using a combination of features from convolutional neural networks

Published:2022-11-15 Issue:13 Volume:82 Page:19299-19322
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Rocha Marina M. M.^ORCID,Landini Gabriel,Florindo Joao B.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional das Fundações Estaduais de Amparo à Pesquisa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-14206-y.pdf

Reference48 articles.

1. Alipanahi B, Delong A, Weirauch MT, Frey BJ (2015) Predicting the sequence specificities of DNA-and RNA-binding proteins by deep learning. Nat Biotechnol 33:831–838

2. Anwar F, Attallah O, Ghanem N, Ismail MA (2020) Automatic breast cancer classification from histopathological images. In: 2019 International conference on advances in the emerging computing technologies (AECT), pp 1–6

3. Attallah O (2022) ECG-Biconet: an ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration. Comput Biol Med 142:105210

4. Attallah O, Sharkas M (2021) GASTRO-CADX: a three stages framework for diagnosing gastrointestinal diseases. PeerJ Comput Sci 7:e423

5. Attallah O, Sharkas M (2021) Intelligent dermatologist tool for classifying multiple skin cancer subtypes by incorporating manifold radiomics features categories. Contrast Media Mol Imaging

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