Multinomial logistic regression for breast thermogram classification

Jha, Rashmi; Singh, Tripty

doi:10.1109/iccsp.2017.8286584

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…The devices for acquiring medical images consist of hardware and software elements. There are various sensors, such as radiography, Magnetic Resonance Imaging (MRI), Computed Tomography (CT), ultrasound (US), thermography, and nuclear medicine, that are widely used by clinicians and have attracted the interest of the researchers working in the area of medical imaging [1]. X-ray and CT are suitable and widely used for stationary images or images of hard tissues.…”

Section: Introductionmentioning

confidence: 99%

Implementation and Comparative Study of Pyramid-based Image Fusion Techniques for Lumbar Spine Images

Nanavati,

Shah

2023

Eng. Technol. Appl. Sci. Res.

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Image fusion is a method of combining the necessary and relevant information from the set of source images into a single (fused) image which can be deemed to be more informative than the source. This paper discusses the implementation of various pyramid-based image fusion algorithms, such as the Laplacian pyramid, the ratio of the low-pass pyramid, the contrast pyramid, and the filter subtract decimate pyramid on multimodal CT and MR images of the lumbar spine. The fused images were evaluated using various objective evaluation quality metrics. The experimental results demonstrated that the ratio of the low pass pyramid achieved better performance compared to the other pyramids implemented, indicating that the fused image can also be used for further image fusion application or analysis purposes.

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Section: Introductionmentioning

confidence: 99%

Implementation and Comparative Study of Pyramid-based Image Fusion Techniques for Lumbar Spine Images

Nanavati,

Shah

2023

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

show abstract

“…The numerous medical imaging sensors become the interest of researchers in the field of biomedical image processing. Different medical sensors include radiography, thermography, ultrasound (US), nuclear medicine and computed tomography (CT) [1]. Owing to the low energy, the most non-invasive thermography is limited in the application.…”

Section: Introductionmentioning

confidence: 99%