Liver Cancer: Improving Standard Diagnosis and Therapy

Masuzaki, Ryota

doi:10.3390/cancers15184602

Cancers

2023

DOI: 10.3390/cancers15184602

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Liver Cancer: Improving Standard Diagnosis and Therapy

Ryota Masuzaki

Abstract: In 2020, liver cancer ranked sixth for incidence (841,000 cases) and fourth for deaths globally (782,000 cases) [...]

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2024

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Cited by 1 publication

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Applications of Machine Learning in Cancer Imaging: A Review of Diagnostic Methods for Six Major Cancer Types

Dumachi,

Buiu

2024

Electronics

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Machine learning (ML) methods have revolutionized cancer analysis by enhancing the accuracy of diagnosis, prognosis, and treatment strategies. This paper presents an extensive study on the applications of machine learning in cancer analysis, with a focus on three primary areas: a comparative analysis of medical imaging techniques (including X-rays, mammography, ultrasound, CT, MRI, and PET), various AI and ML techniques (such as deep learning, transfer learning, and ensemble learning), and the challenges and limitations associated with utilizing ML in cancer analysis. The study highlights the potential of ML to improve early detection and patient outcomes while also addressing the technical and practical challenges that must be overcome for its effective clinical integration. Finally, the paper discusses future directions and opportunities for advancing ML applications in cancer research.

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Applications of Machine Learning in Cancer Imaging: A Review of Diagnostic Methods for Six Major Cancer Types

Dumachi,

Buiu

2024

Electronics

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Liver Cancer: Improving Standard Diagnosis and Therapy

Abstract: In 2020, liver cancer ranked sixth for incidence (841,000 cases) and fourth for deaths globally (782,000 cases) [...]

Cited by 1 publication

References 15 publications

Applications of Machine Learning in Cancer Imaging: A Review of Diagnostic Methods for Six Major Cancer Types

Applications of Machine Learning in Cancer Imaging: A Review of Diagnostic Methods for Six Major Cancer Types

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