Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.
Sign Up to like & getrecommendations! Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13642
Abstract: PURPOSE To effectively grade hepatocellular carcinoma (HCC) based on deep features derived from diffusion weighted images (DWI) with multiple b-values using convolutional neural networks (CNN). MATERIALS AND METHODS Ninety-eight subjects with 100 pathologically confirmed HCC… read more here.
Keywords: hepatocellular carcinoma; features derived; diffusion weighted; deep features ... See more keywords
Radiomic features derived from pretherapeutic MRI predict chemoradiation response in locally advanced rectal cancer
Sign Up to like & getrecommendations! Published in 2023 at "Journal of the Chinese Medical Association"
DOI: 10.1097/jcma.0000000000000887
Abstract: Background: The standard treatment for locally advanced rectal cancer (LARC) is neoadjuvant concurrent chemoradiotherapy (CRT) followed by surgical excision. Current evidence suggests a favorable prognosis for those with pathological complete response (pCR), and surgery may… read more here.
Keywords: locally advanced; features derived; rectal cancer; response ... See more keywords
Combining primary tumor features derived from conventional and contrast-enhanced ultrasound facilitates the prediction of positive axillary lymph nodes in Breast Imaging Reporting and Data System category 4 malignant breast lesions.
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostic and interventional radiology"
DOI: 10.4274/dir.2022.22534
Abstract: PURPOSE To determine whether the primary tumor features derived from conventional ultrasound (US) and contrast-enhanced US (CEUS) facilitate the prediction of positive axillary lymph nodes (ALNs) in breast cancer diagnosed as Breast Imaging Reporting and… read more here.
Keywords: primary tumor; breast; features derived; derived conventional ... See more keywords