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Erschienen in:
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2022 | OriginalPaper | Buchkapitel

Critical Insights on Cancer Detection Using Deep Learning

verfasst von : Harsimar Kandhari, Sagar Deep, Garima Jaiswal, Arun Sharma

Erschienen in: Artificial Intelligence and Speech Technology

Verlag: Springer International Publishing

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Abstract

Cancer is grouped into many diseases that can originate in any organ of the human body. It is a type of tumor (cancerous), defined as the uncontrolled growth of damaged or abnormal cells. After originating, they spread to other parts of the body, causing tumors to grow there, too, called metastasis. Cancerous tumors are also known as malignant tumors. To prepare an effective treatment for cancer patients, it must be detected in the early phase. Machine learning and deep learning algorithms may assist in automating this task. One of the most commonly used deep learning techniques is Convolutional Neural Network (CNN). The present study reviews cancer detection using deep learning approaches by elaborating the datasets, results, limitations, and approaches.

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Vorheriges Kapitel Machine Hearing a Cognitive Service for Aiding Clinical Diagnosis
Nächstes Kapitel OHF: An Ontology Based Framework for Healthcare
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Metadaten
Titel
Critical Insights on Cancer Detection Using Deep Learning
verfasst von
Harsimar Kandhari
Sagar Deep
Garima Jaiswal
Arun Sharma
Copyright-Jahr
2022
Buch
Artificial Intelligence and Speech Technology

Print ISBN: 978-3-030-95710-0

Electronic ISBN: 978-3-030-95711-7

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-030-95711-7_27

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