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Deep Learning Application for Analyzing of Medical Images | Chapter 11 | New Horizons in Medicine and Medical Research Vol. 6

 All of the research papers define, emphasise, and classify one of the constituent elements of deep learning models (DL) used in medical image interpretation, but none of them provide a comprehensive picture of the importance and impact of each ingredient on DL model performance. Deep learning (DL) has advanced at a breakneck pace in medicine, but its applications in medical image interpretation are still evolving. Our paper is unique in that it employs a unified approach to the constituent elements of DL models, such as data, tools used by DL architectures, or specifically constructed DL architecture combinations, and highlights their "key" features for completing tasks in current medical image interpretation applications. Future research could focus on the use of "key" qualities unique to each constituent of DL models, as well as the correct determination of their correlations, with the goal of increasing DL model performance in medical image interpretation.


Author(S) Details

Tudor Florin Ursuleanu
Faculty of General Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania and Department of Surgery VI, “Sf. Spiridon” Hospital, Iasi, Romania and Department of Surgery I, Regional Institute of Oncology, Iasi, Romania.

Andreea Roxana Luca

Faculty of General Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania and Department of Obstetrics and Gynecology, Integrated Ambulatory of Hospital “Sf. Spiridon”, Iasi, Romania.

Liliana Gheorghe
Faculty of General Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania and Department of Radiology, Sf. Spiridon” Hospital, Iasi, Romania.

Roxana Grigorovici
Faculty of General Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania.

Stefan Iancu
Faculty of General Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania.

Maria Hlusneac
Faculty of General Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania.

Cristina Preda
Faculty of General Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania and Department of Endocrinology, “Sf. Spiridon” Hospital, Iasi, Romania.

Alexandru Grigorovici
Faculty of General Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania and Department of Surgery VI, “Sf. Spiridon” Hospital, Iasi, Romania.

View Book:- https://stm.bookpi.org/NHMMR-V6/article/view/6442

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