A robust end-to-end deep learning-based approach for effective and reliable btd using mr images

HIGHLIGHTS

• who: Naeem Ullah and colleagues from the Department of Software Engineering, University of Engineering and Technology, Taxila, Pakistan have published the paper: A Robust End-to-End Deep Learning-Based Approach for Effective and Reliable BTD Using MR Images, in the Journal: Sensors 2022, 7575 of /2022/
• what: Where TN, FP, FN, TP, and TS denote the true negative, false positive, false negative, true This experiment aims to evaluate the BTD performance of the TumorResNet DL-based positive, and a total number of samples, respectively. framework. A thorough ablation study was carried out to show . . .
  

   

  

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