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Assessing the Impact of Mullet Ai System on Focal Liver Lesion Detection: A Multicenter, Multi-Reader, Multi-Case Clinical Trial

https://doi.org/10.2139/ssrn.5333399
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Diagnosis of hepatic nodules 20 mm or smaller in cirrhosis: Prospective validation of the noninvasive diagnostic criteria for hepatocellular carcinoma
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Diagnosis of Hepatocellular Carcinoma in Cirrhosis by Dynamic Contrast Imaging: The Importance of Tumor Cell Differentiation
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Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases
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PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images
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Artificial intelligence applied to breast pathology
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Current and Future Applications of Artificial Intelligence in Cardiac CT
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Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs
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Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review
inferredcites →https://doi.org/10.1016/j.bbcan.2019.188314openalex-snapshot
Challenges in liver cancer and possible treatment approaches
inferredcites →https://doi.org/10.1016/j.canlet.2019.12.007openalex-snapshot
Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
inferredcites →https://doi.org/10.1016/j.diii.2022.11.007openalex-snapshot
Artificial intelligence: A critical review of applications for lung nodule and lung cancer
inferredcites →https://doi.org/10.1016/j.jcct.2021.03.006openalex-snapshot
Artificial intelligence in cardiovascular CT: Current status and future implications
inferredcites →https://doi.org/10.1016/j.jhep.2021.11.018openalex-snapshot
BCLC strategy for prognosis prediction and treatment recommendation: The 2022 update
inferredcites →https://doi.org/10.1016/j.media.2022.102680openalex-snapshot
The Liver Tumor Segmentation Benchmark (LiTS)
inferredcites →https://doi.org/10.1016/s1076-6332(97)80032-3openalex-snapshot
Dorfman-Berbaum-Metz method for statistical analysis of multireader, multimodality receiver operating characteristic data: Validation with computer simulation
inferredcites →https://doi.org/10.1038/ajg.2009.654openalex-snapshot
The Impact of Vascular and Nonvascular Findings on the Noninvasive Diagnosis of Small Hepatocellular Carcinoma Based on the EASL and AASLD Criteria
inferredcites →https://doi.org/10.1038/s41591-020-01174-9openalex-snapshot
Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach
inferredcites →https://doi.org/10.1038/s41591-023-02640-wopenalex-snapshot
Large-scale pancreatic cancer detection via non-contrast CT and deep learning
inferredcites →https://doi.org/10.1097/hep.0000000000000466openalex-snapshot
AASLD Practice Guidance on prevention, diagnosis, and treatment of hepatocellular carcinoma
inferredcites →https://doi.org/10.1109/tcyb.2021.3085856openalex-snapshot
WaSR—A Water Segmentation and Refinement Maritime Obstacle Detection Network
inferredcites →https://doi.org/10.1109/tmi.2018.2845918openalex-snapshot
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
inferredcites →https://doi.org/10.1136/gut.2009.187286openalex-snapshot
The diagnostic and economic impact of contrast imaging techniques in the diagnosis of small hepatocellular carcinoma in cirrhosis
inferredcites →https://doi.org/10.1177/0954411920971888openalex-snapshot
Ensembled liver cancer detection and classification using CT images
inferredcites →https://doi.org/10.1186/s13244-021-01102-6openalex-snapshot
Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging
inferredcites →https://doi.org/10.3174/ajnr.a6883openalex-snapshot
Artificial Intelligence and Acute Stroke Imaging
inferredcites →https://doi.org/10.3390/cancers15092573openalex-snapshot
Artificial Intelligence in CT and MR Imaging for Oncological Applications
inferredcites →https://doi.org/10.3390/s22145429openalex-snapshot
Automatic Detection of Liver Cancer Using Hybrid Pre-Trained Models
inferredcites →https://doi.org/10.3748/wjg.v23.i29.5282openalex-snapshot
From diagnosis to treatment of hepatocellular carcinoma: An epidemic problem for both developed and developing world
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