Titlebook: Applications of Medical Artificial Intelligence; Second International Shandong Wu,Behrouz Shabestari,Lei Xing Conference proceedings 2024 T

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書(shū)目名稱(chēng)Applications of Medical Artificial Intelligence影響因子(影響力)




書(shū)目名稱(chēng)Applications of Medical Artificial Intelligence影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Applications of Medical Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Applications of Medical Artificial Intelligence被引頻次




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書(shū)目名稱(chēng)Applications of Medical Artificial Intelligence年度引用學(xué)科排名




書(shū)目名稱(chēng)Applications of Medical Artificial Intelligence讀者反饋




書(shū)目名稱(chēng)Applications of Medical Artificial Intelligence讀者反饋學(xué)科排名

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cognizant

,Clinical Trial Histology Image Based End-to-End Biomarker Expression Levels Prediction and?Visualizics the staining processes, surpassing prior works and offering a feasible substitute for traditional histopathology methods. Preliminary results are presented using a clinical trial dataset pertaining to the CEACAM5 biomarker.

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excrete

Investigating the Impact of Image Quality on Endoscopic AI Model Performance,, as well as on a manually selected dataset that includes images with lower subjective quality. Our findings highlight the importance of understanding the impact of a decrease in image quality and the need to include robustness evaluation for DNNs used in endoscopy.

Decibel

Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection,cer detection in multi-modal MRI. Performance is evaluated on publicly-available databases, and compared to two state-of-the art baseline methods. The proposed ensembling approach improves the average precision metric in all considered applications, with a 8% gain for prostate cancer.

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