Detection and Classification of Brain Tumor Using MRI Images

Koli, Rahul; Lotya, Sahil; Govekar, Prasad; Sachdev, Karan; Bhatia, Gresha

doi:10.1007/978-981-16-5655-2_37

ICT Analysis and Applications

2022

DOI: 10.1007/978-981-16-5655-2_37

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Detection and Classification of Brain Tumor Using MRI Images

Rahul Koli¹,

Sahil Lotya²,

Prasad Govekar³

et al.

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2024

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Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology

Pitarch,

Ungan,

Julià-Sapé

et al. 2024

Cancers

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Machine Learning is entering a phase of maturity, but its medical applications still lag behind in terms of practical use. The field of oncological radiology (and neuro-oncology in particular) is at the forefront of these developments, now boosted by the success of Deep-Learning methods for the analysis of medical images. This paper reviews in detail some of the most recent advances in the use of Deep Learning in this field, from the broader topic of the development of Machine-Learning-based analytical pipelines to specific instantiations of the use of Deep Learning in neuro-oncology; the latter including its use in the groundbreaking field of ultra-low field magnetic resonance imaging.

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Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology

Pitarch,

Ungan,

Julià-Sapé

et al. 2024

Cancers

View full text Add to dashboard Cite

show abstract

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Detection and Classification of Brain Tumor Using MRI Images

Cited by 1 publication

References 11 publications

Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology

Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology

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